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15 Hot Trending PHD Research Topics in Data Mining 2018
 
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15 Hot Trending Data Mining Research Topics 2018 1. Medical Data Mining 2. Education Data Mining 3. Data Mining with Cloud Computing 4. Efficiency of Data Mining Algorithms 5. Signal Processing 6. Social Media Analytics 7. Data Mining in Medical Science 8. Government Domain 9. Financial Data Analysis 10. Financial Accounting Fraud Detection 11. Customer Analysis 12. Financial Growth Analysis using Data Mining 13. Data Mining and IOT 14. Data Mining for Counter-Terrorism Key Research Application Fields: • Crisp-DM • Oracle Data mining • Web Mining • Open NN • Data Warehousing • Text Mining WHY YOU NEED TO OUTSOURCE TO PhD Assistance: a) Unlimited revisions b) 24/7 Admin Support c) Plagiarism Generate d) Best Possible Turnaround time e) Access to High qualified technical coordinators and expertise f) Support: Skype, Live Chat, Phone, Email Contact us: India: +91 8754446690 UK: +44-1143520021 Email: [email protected] Visit Webpage: https://goo.gl/HwJgqQ Visit Website: http://www.phdassistance.com
Views: 5840 PhD Assistance
PHD RESEARCH TOPIC IN DATA MINING
 
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Contact Best Phd Projects Visit us: http://www.phdprojects.org/ http://www.phdprojects.org/phd-research-topic-mobile-networking/
Views: 4868 PhDprojects. org
Data Mining in the Medical Field
 
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Video about data mining in the medical field. Made by Aditya Jariwala, Alex Truitt, Tongfei Zhang, and Yishi Xu for Purdue COM 21700 final project, Spring 2017.
Views: 4132 Aditya Jariwala
Top 5 Algorithms used in Data Science | Data Science Tutorial | Data Mining Tutorial | Edureka
 
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( Data Science Training - https://www.edureka.co/data-science ) This tutorial will give you an overview of the most common algorithms that are used in Data Science. Here, you will learn what activities Data Scientists do and you will learn how they use algorithms like Decision Tree, Random Forest, Association Rule Mining, Linear Regression and K-Means Clustering. To learn more about Data Science click here: http://goo.gl/9HsPlv The topics related to 'R', Machine learning and Hadoop and various other algorithms have been extensively covered in our course “Data Science”. For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free). Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 108255 edureka!
Data Mining using R | Data Mining Tutorial for Beginners | R Tutorial for Beginners | Edureka
 
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( R Training : https://www.edureka.co/r-for-analytics ) This Edureka R tutorial on "Data Mining using R" will help you understand the core concepts of Data Mining comprehensively. This tutorial will also comprise of a case study using R, where you'll apply data mining operations on a real life data-set and extract information from it. Following are the topics which will be covered in the session: 1. Why Data Mining? 2. What is Data Mining 3. Knowledge Discovery in Database 4. Data Mining Tasks 5. Programming Languages for Data Mining 6. Case study using R Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS #LogisticRegression #Datasciencetutorial #Datasciencecourse #datascience How it Works? 1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. You will get Lifetime Access to the recordings in the LMS. 4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. - - - - - - - - - - - - - - Why Learn Data Science? Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. After the completion of the Data Science course, you should be able to: 1. Gain insight into the 'Roles' played by a Data Scientist 2. Analyse Big Data using R, Hadoop and Machine Learning 3. Understand the Data Analysis Life Cycle 4. Work with different data formats like XML, CSV and SAS, SPSS, etc. 5. Learn tools and techniques for data transformation 6. Understand Data Mining techniques and their implementation 7. Analyse data using machine learning algorithms in R 8. Work with Hadoop Mappers and Reducers to analyze data 9. Implement various Machine Learning Algorithms in Apache Mahout 10. Gain insight into data visualization and optimization techniques 11. Explore the parallel processing feature in R - - - - - - - - - - - - - - Who should go for this course? The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics 4. Business Analysts who want to understand Machine Learning (ML) Techniques 5. Information Architects who want to gain expertise in Predictive Analytics 6. 'R' professionals who want to captivate and analyze Big Data 7. Hadoop Professionals who want to learn R and ML techniques 8. Analysts wanting to understand Data Science methodologies For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free). Website: https://www.edureka.co/data-science Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. " Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 80695 edureka!
Current trends in Data Mining..
 
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Topic described here are: Multimedia datamining Ubiquitous datamining Distributed datamining Spatial datamining Time series datamining Text mining Video mining Image mining Audio mining multimedia issues Submitted by: A. Vaishnavi II Msc cs A 175214141
Views: 621 vaishu raj
DATA WAREHOUSE AND DATA MINING (DWDM) MOST IMPORTANT QUESTIONS FOR EXAMS
 
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DATA WAREHOUSE AND DATA MINING (DWDM) IMPORTANT QUESTIONS #DATA WAREHOUSE #DATA MINING #DWDM #IMPORTANT #QUESTIONS #EXAMS
Views: 2793 best way to study
Smart Health Prediction Using Data Mining
 
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Get the project at http://nevonprojects.com/smart-health-prediction-using-data-mining/ A smart system that suggests a persons disease and suggestions to cure based on his symptoms, also has online doctor to consult for further treatment and cure.
Views: 38694 Nevon Projects
data mining techniques
 
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This video describes data mining tasks or techniques in brief. Each technique requires a separate explanation as well. #datamining #techniques #weka Data mining tutorial in hindi Weka tutorial in hindi Data mining tutorial
Views: 10355 yaachana bhawsar
Project topics on data mining
 
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Contact Best Phd Projects Visit us: http://www.phdprojects.org/ http://www.phdprojects.org/phd-3-months/
Views: 1481 PhDprojects. org
Basic Concept of Data Mining || Architecture of Data Mining || Asst. Prof Harshita Bhati
 
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Welcome back to the channel. On this lecture Asst. Prof. Harshita Bhati is explaining Basic Concept of Data Mining. Data Mining- Basic Concept of Data Mining and its Architecture Watch full video to know the in-depth about Data mining concept and its architecture. Gurukpo.com is the fastest growing educational web portal where all kind of academic information/notes is available for free of cost. For more details visit http://www.gurukpo.com These Videos are produced by Biyani Group of Colleges Jaipur, a fastest growing girls college in India. Visit http://www.biyanicolleges.org and you can also subscribe to our Biyani Group Of Colleges channel for quality videos about Fashion Lifestyle, Entertainment, Extracurricular activities, college events, and many more useful topics. http://bit.ly/2FxQhNj Thanks for watching and commenting. If you like our video you can subscribe our Youtube channel and don't forget to hit the bell icon to get all the latest updates. ----------------------------------- #biyanigroupofcolleges #biyanicollege #gurukpo #Data_mining_lecture #Harshita_Bhati #Data_mining_Concept #Data_Mining_Architecture #Basic_Concept_of_Data_Mining_&_its_Architecture ------------------------------------ Get Socialistic With Us:- Facebook: https://www.facebook.com/BiyaniGuruKpo/ Instagram : https://www.instagram.com/gurukpo/ Website: http://gurukpo.com
Views: 1510 Guru Kpo
Get latest data mining Thesis Topics for master and phd
 
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Get latest data mining thesis topics for master and phd in e2matrix . if you want proper guidance and thesis topics and projects and topics so you can contact to e2matrix . we are provides you proper guidance about your work . so you can't delay and do fast contact to e2matrix . call now : + 91 9041262727, e-mail: [email protected] Just click in the following link and Read more about cloud computing thesis topics http://www.e2matrix.com/blog/2018/07/04/data-mining-research-guidance-and-thesis-topics/ Thanks & Regards E2Matrix http://www.e2matrix.com/ Follow us on Social Media https://www.facebook.com/E2MatrixTrainingAndResearchInstitute/?ref=settings https://twitter.com/e2matrix_lab https://www.instagram.com/e2matrixresearch/
Views: 178 THESIS HELPS
#Data: 7 hot topics for 2018 - 5. Data Science
 
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The year 2018 looks promising, more than ever driven by Data. What are specifically the trends and topics to track? Fifth topic: "Data Science ". Watch here!
Views: 855 Business & Decision
The Clustering Problem | Medical Data Mining L02T08 | Unsupervised Machine Learning
 
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The Online Certificate Program in Genomics and Biomedical Informatics Bar-Ilan University & Sheba Medical Center Course 803.80-675 - Medical Data Mining Spring 2018 Lecturer: Dr. Ronen Tal-Botzer [email protected] Unit L02: Unsupervised Machine Learning | From Data to Information to Knowledge Topic 08: The Clustering Problem
Introduction to Data Mining: Basic Vocabulary
 
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All great learning opportunities are built on a solid foundation. This data mining fundamentals series is jam-packed with all the background information, technical terminology, and basic knowledge that you will need to hit the ground running. In part 1 of this data mining video series, we cover what data is and the basic vocabulary associated with it. Topics: – Data and Data Types – Data Quality – Data Preprocessing – Similarity and Dissimilarity – Data Exploration and Visualization -- Learn more about Data Science Dojo here: https://hubs.ly/H0hClSz0 Watch the latest video tutorials here: https://hubs.ly/H0hClT20 See what our past attendees are saying here: https://hubs.ly/H0hClrG0 -- At Data Science Dojo, we believe data science is for everyone. Our in-person data science training has been attended by more than 4000+ employees from over 830 companies globally, including many leaders in tech like Microsoft, Apple, and Facebook. -- Like Us: https://www.facebook.com/datasciencedojo Follow Us: https://plus.google.com/+Datasciencedojo Connect with Us: https://www.linkedin.com/company/datasciencedojo Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_science_dojo Vimeo: https://vimeo.com/datasciencedojo
Views: 37635 Data Science Dojo
PhD research topic in big data
 
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Contact Best Phd Projects Visit us: http://www.phdprojects.org/ http://www.phdprojects.org/network-security-research-topics/
Views: 6361 PhDprojects. org
Projects in Data Mining Topics | Thesis in Data Mining Topics | Code Projects in Data Mining Topics
 
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Contact Best Matlab Projects Visit us: https://matlabprojects.org/
Views: 38 Matlab Projects
About Medical Data Mining | Medical Data Mining L01T04 | Introduction & Scientific Knowledge
 
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The Online Certificate Program in Genomics and Biomedical Informatics Bar-Ilan University & Sheba Medical Center Course 803.80-675 - Medical Data Mining Spring 2018 Lecturer: Dr. Ronen Tal-Botzer [email protected] Unit L01: Introduction & Scientific Knowledge Topic T04: About Medical Data Mining
Data Mining Projects 2016-2017 | ieee data mining papers 2016
 
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ieee data mining papers 2016 for ME,M.Tech.,M.Phil., Ph.D., B.E, B.Tech., MCA A Novel Recommendation Model Regularized with User Trust and Item Ratings Automatically Mining Facets for Queries from Their Search Results Booster in High Dimensional Data Classification Building an intrusion detection system using a filter-based feature selection algorithm Connecting Social Media to E-Commerce: Cold-Start Product Recommendation Using Microblogging Information Cross-Domain Sentiment Classification Using Sentiment Sensitive Embeddings Crowdsourcing for Top-K Query Processing over Uncertain Data Cyberbullying Detection based on Semantic-Enhanced Marginalized Denoising Auto-Encoder Domain-Sensitive Recommendation with User-Item Subgroup Analysis Efficient Algorithms for Mining Top-K High Utility Itemsets Efficient Cache-Supported Path Planning on Roads Mining User-Aware Rare Sequential Topic Patterns in Document Streams Nearest Keyword Set Search in Multi-Dimensional Datasets Rating Prediction based on Social Sentiment from Textual Reviews Location Aware Keyword Query Suggestion Based on Document Proximity Using Hashtag Graph-based Topic Model to Connect Semantically-related Words without Co-occurrence in Microblogs Quantifying Political Leaning from Tweets, Retweets, and Retweeters Relevance Feedback Algorithms Inspired By Quantum Detection Sentiment Embeddings with Applications to Sentiment Analysis Top-Down XML Keyword Query Processing TopicSketch: Real-time Bursty Topic Detection from Twitter Top-k Dominating Queries on Incomplete Data Understanding Short Texts through Semantic Enrichment and Hashing To get this project in ONLINE or through TRAINING Sessions, Contact: JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83.Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai,Thattanchavady, Puducherry -9.Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690, Email: [email protected], web: www.jpinfotech.org, Blog: www.jpinfotech.blogspot.com
Views: 2638 JPINFOTECH PROJECTS
data mining projects
 
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Views: 489 PhDprojects. org
Get latest data mining Thesis Topics-+91-9041262727
 
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Get latest data mining Thesis Topics from e2matrix. Our experts have 4 to 5 year experience in data mining thesis topics. if you want achieve your research results on time without any delay , then e2matrix provides you full guidance related to your work from the selection of paper to documentation. All kind of helps is offer from our sides at each phase of your work. Feel free to talk to our experts over a phone call at :+91 9041262727 or email us at : [email protected] . Just click in the following link and Read more about data mining thesis topic http://www.e2matrix.com/blog/2018/07/04/data-mining-research-guidance-and-thesis-topics/ Thanks & Regards E2Matrix http://www.e2matrix.com/ Follow us on Social Media https://www.facebook.com/E2MatrixTrainingAndResearchInstitute/?ref=settings https://twitter.com/e2matrix_lab https://www.instagram.com/e2matrixresearch/ https://www.linkedin.com/company/e2matrix-research-lab/
Views: 100 THESIS HELPS
PhD research topic in Image Mining
 
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Contact Best Phd Projects Visit us: http://www.phdprojects.org/ http://www.phdprojects.org/phd-research-topic-mobile-cloud-computing/
Views: 922 PhDprojects. org
PhD research topic in Cryptography
 
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Views: 783 PhDprojects. org
2018 IEEE Transaction Paper on Data Mining: Easy Paper to implement set 1
 
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Paper 1: Data-Pattern Enabled Self-Recovery Low-Power Storage System for Big Video Data. Paper 2: Online Signature Verification Based on Stable Features Extracted Dynamically. Paper 3: Contextual Exemplar Classifier Based Image Representation for Classification. Paper 4: ESIM: Edge Similarity for Screen Content Image Quality Assessment. Paper 5: Depth-Projection-Map-Based Bag of Contour Fragments for Robust Hand Gesture Recognition. Paper 6: Image Class Prediction By Joint Object, Context and Background Modeling. Paper 7: Facial Expression Recognition Based on Deep Evolutional Spatial-Temporal Networks. Paper 8: Face Anti-Spoofing using Speeded-Up Robust Features and Fisher Vector Encoding. Paper 9: Context-Aware Local Binary Feature Learning for Face Recognition. Paper 10: Data-Dependent Label Distribution Learning for Age Estimation. Paper 11:Data-Dependent Label Distribution Learning for Age Estimation. Paper 12: Fog Density Estimation and Image Defogging Based on Surrogate Modeling for Optical Depth. Paper 13: Neuron Segmentation with High-Level Biological Priors. Paper 14: Learning Correspondence Structures for Person Re-identification. Paper 15: Simultaneous Feature and Dictionary Learning for Image Set Based Face Recognition. Paper 16: Soft Biometrics: Globally Coherent Solutions for Hair Segmentation and Style Recognition based on Hierarchical MRFs. Paper 17: Deep Representation based feature extraction and recovering for Finger-vein verification. Paper 18: Fast Image Dehazing Method Based on Linear Transformation. Paper 19: Detecting morphological filtering of binary images. Paper 20: Neighborhood Matching For Image Retrieval.
Views: 839 Ashwini Cly
Project Topics in Data Mining | Thesis Topics in Data Mining | Code Project Topics in Data Mining
 
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Contact Best Matlab Projects Visit us: https://matlabprojects.org/
Views: 19 Matlab Projects
Project Topics on Data Mining | Thesis Topics on Data Mining | Code Project Topics on Data Mining
 
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Contact Best Matlab Projects Visit us: https://matlabprojects.org/
Views: 160 Matlab Projects
Data Mining Lecture - - Advance Topic | Web mining | Text mining (Eng-Hindi)
 
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Data mining Advance topics - Web mining - Text Mining -~-~~-~~~-~~-~- Please watch: "PL vs FOL | Artificial Intelligence | (Eng-Hindi) | #3" https://www.youtube.com/watch?v=GS3HKR6CV8E -~-~~-~~~-~~-~- Follow us on : Facebook : https://www.facebook.com/wellacademy/ Instagram : https://instagram.com/well_academy Twitter : https://twitter.com/well_academy
Views: 65700 Well Academy
INTRODUCTION TO DATA MINING IN HINDI
 
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Please Support LearnEveryone Channel,Small Contribution shall help us to put more content for free: Patreon - https://www.patreon.com/LearnEveryone ------------------------------------------------- Buy Software engineering books(affiliate): Software Engineering: A Practitioner's Approach by McGraw Hill Education https://amzn.to/2whY4Ke Software Engineering: A Practitioner's Approach by McGraw Hill Education https://amzn.to/2wfEONg Software Engineering: A Practitioner's Approach (India) by McGraw-Hill Higher Education https://amzn.to/2PHiLqY Software Engineering by Pearson Education https://amzn.to/2wi2v7T Software Engineering: Principles and Practices by Oxford https://amzn.to/2PHiUL2 ------------------------------- find relevant notes at-https://viden.io/
Views: 118005 LearnEveryone
Data warehouse and Data mining Important for Comps Mumbai university
 
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Thanks alot to atharva for making this video
Views: 6721 Last moment tuitions
Get Latest Data Mining Thesis Topics -9041262727
 
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Get latest data mining thesis topics for m.tech and phd students . we are provides thesis projects, topics and writing papers . if you want thesis projects so you can contact to our experts . we are provides you proper guidance with projects . call our experts on this no : +91 9041262727 , e-mail: [email protected] , Just click in the following link and Read more about cloud computing thesis topics https://www.linkedin.com/pulse/data-mining-thesis-topics-list-91-90412-62727-e2matrix-research Thanks & Regards E2Matrix http://www.e2matrix.com/ Follow us on Social Media https://www.facebook.com/E2MatrixTrainingAndResearchInstitute/?ref=settings https://twitter.com/e2matrix_lab https://www.instagram.com/e2matrixresearch/ https://www.linkedin.com/company/e2matrix-research-lab/
Views: 48 THESIS HELPS
Project Topics Related Data Mining | Thesis Topics Related Data Mining
 
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Views: 67 Matlab Projects
Data Mining Mini Project Topics | Data Mining Mini Thesis Topics
 
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Views: 90 MATLAB PROJECTS
Data Mining Research Topics | Data Mining Research Project Topics
 
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Data Mining as a healthcare research tool (Analytics Techniques Listed Below)
 
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Here are some additional techniques for data mining: 1. Decision Tree Analysis: https://www.youtube.com/watch?v=bJC5S_ViRCo 2. Text mining in Twitter: https://www.youtube.com/watch?v=I0VCGCnquTQ
INFT3007 Lecture 11 - Data Mining Overview and Exam Topics
 
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Data Mining Overview Exam Topics
Views: 1460 Rukshan Athauda
Mining Twitter with Python : 1 - Hashtags, Topics, and Time Series
 
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Twitter is one of the most well-known online social networks that enjoy extreme popularity in the recent years. We will start looking at data mining on Twitter and how to interact with Twitter API. ----- ------ Channel link: https://goo.gl/nVWDos Subscribe here: https://goo.gl/gMdGUE Link to playlist: https://goo.gl/WIHiEy ---- Join my Facebook Group to stay connected: http://bit.ly/2lZ3FC5 Like my Facebbok Page for updates: https://www.facebook.com/tigerstylecodeacademy/ Follow me on Twitter: https://twitter.com/sukhsingh Profile on LinkedIn: https://www.linkedin.com/in/singhsukh/ ---- Schedule: New educational videos every week ----- ----- Source Code for tutorials on Youtube: http://bit.ly/2nSQSAT ----- Learn Something New: ------ Learn Something New: http://bit.ly/2zSkzGh ----- Learn Something New: ------ Learn Something New: http://bit.ly/2zSkzGh
Views: 5689 Sukhvinder Singh
Text Mining In R | Natural Language Processing | Data Science Certification Training | Edureka
 
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** Data Science Certification using R: https://www.edureka.co/data-science ** In this video on Text Mining In R, we’ll be focusing on the various methodologies used in text mining in order to retrieve useful information from data. The following topics are covered in this session: (01:18) Need for Text Mining (03:56) What Is Text Mining? (05:42) What is NLP? (07:00) Applications of NLP (08:33) Terminologies in NLP (14:09) Demo Blog Series: http://bit.ly/data-science-blogs Data Science Training Playlist: http://bit.ly/data-science-playlist - - - - - - - - - - - - - - - - - Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka - - - - - - - - - - - - - - - - - #textmining #textminingwithr #naturallanguageprocessing #datascience #datasciencetutorial #datasciencewithr #datasciencecourse #datascienceforbeginners #datasciencetraining #datasciencetutorial - - - - - - - - - - - - - - - - - About the Course Edureka's Data Science course will cover the whole data lifecycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modeling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. - - - - - - - - - - - - - - Why Learn Data Science? Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. After the completion of the Data Science course, you should be able to: 1. Gain insight into the 'Roles' played by a Data Scientist 2. Analyze Big Data using R, Hadoop and Machine Learning 3. Understand the Data Analysis Life Cycle 4. Work with different data formats like XML, CSV and SAS, SPSS, etc. 5. Learn tools and techniques for data transformation 6. Understand Data Mining techniques and their implementation 7. Analyze data using machine learning algorithms in R 8. Work with Hadoop Mappers and Reducers to analyze data 9. Implement various Machine Learning Algorithms in Apache Mahout 10. Gain insight into data visualization and optimization techniques 11. Explore the parallel processing feature in R - - - - - - - - - - - - - - Who should go for this course? The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics 4. Business Analysts who want to understand Machine Learning (ML) Techniques 5. Information Architects who want to gain expertise in Predictive Analytics 6. 'R' professionals who want to captivate and analyze Big Data 7. Hadoop Professionals who want to learn R and ML techniques 8. Analysts wanting to understand Data Science methodologies. For online Data Science training, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.
Views: 6463 edureka!
Data Mining Topics for Project | Data Mining Topics for Thesis
 
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Data Mining Related Project Topics | Data Mining Related Thesis Topics
 
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Views: 23 matlab simulation
Data Mining Project Topics Ieee | Data Mining Thesis Topics Ieee
 
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Views: 31 matlab simulation
Topic modeling with R and tidy data principles
 
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Watch along as I demonstrate how to train a topic model in R using the tidytext and stm packages on a collection of Sherlock Holmes stories. In this video, I'm working in IBM Cloud's Data Science Experience environment. See the code on my blog here: https://juliasilge.com/blog/sherlock-holmes-stm/
Views: 13576 Julia Silge
Topic Detection with Text Mining
 
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Meet the authors of the e-book “From Words To Wisdom”, right here in this webinar on Tuesday May 15, 2018 at 6pm CEST. Displaying words on a scatter plot and analyzing how they relate is just one of the many analytics tasks you can cover with text processing and text mining in KNIME Analytics Platform. We’ve prepared a small taste of what text mining can do for you. Step by step, we’ll build a workflow for topic detection, including text reading, text cleaning, stemming, and visualization, till topic detection. We’ll also cover other useful things you can do with text mining in KNIME. For example, did you know that you can access PDF files or even EPUB Kindle files? Or remove stop words from a dictionary list? That you can stem words in a variety of languages? Or build a word cloud of your preferred politician’s talk? Did you know that you can use Latent Dirichlet Allocation for automatic topic detection? Join us to find out more! Material for this webinar has been extracted from the e-book “From Words to Wisdom” by Vincenzo Tursi and Rosaria Silipo: https://www.knime.com/knimepress/from-words-to-wisdom At the end of the webinar, the authors will be available for a Q&A session. Please submit your questions in advance to: [email protected] This webinar only requires basic knowledge of KNIME Analytics Platform which you can get in chapter one of the KNIME E-Learning Course: https://www.knime.com/knime-introductory-course
Views: 4944 KNIMETV
Critical Analysis on how Data Mining Effects Individual Privacy
 
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In this critical analysis of data mining effects on individual privacy the topics that are focused on include marketing data mining, medical data mining, and privacy concerns and ethics about data mining. In sequence, this paper is organized as follows. Section 2 provides the background information and significance of data mining for the past and future. Section 3 opens the discussion with marketing data mining and how the Corporate Industrial Complex is already profiting off of data mining with no regards for individual privacy. Section 4 continues the discussion with medical data mining, a hot button issue for most Americans, by analyzing the current situation, looking at the need for data mining, and the possible threats to individual privacy. Section 5 ends the discussion with privacy concerns and ethics about data mining by comparing and contrasting the views of Americans and Europeans. Finally, Section 6 will summarize the paper and recap some of the main topic in the discussion about data mining effect on individual privacy. Tools used: Prezis Screenomatic basic upload to youtube
Views: 1066 Terry Henderson
Statistical Aspects of Data Mining (Stats 202) Day 11
 
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Google Tech Talks August 3, 2007 ABSTRACT This is the Google campus version of Stats 202 which is being taught at Stanford this summer. I will follow the material from the Stanford class very closely. That material can be found at www.stats202.com. The main topics are exploring and visualizing data, association analysis, classification, and clustering. The textbook is Introduction to Data Mining by Tan, Steinbach and Kumar. Googlers are welcome to attend any classes which they think might be of interest to them. Credits: Speaker:David Mease
Views: 15596 GoogleTechTalks
Data Mining Project Topics | Data Mining Thesis Topics | Data Mining Code Project Topics
 
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Contact Best Matlab Simulation Projects Visit us: http://matlabsimulation.com/
Views: 30 matlab simulation
#FixCopyright:  Copyright & Research - Text & Data Mining (TDM) Explained
 
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Read our blog post analysing the European Commission's (EC) text and data mining (TDM) exception and providing recommendations on how to improve it: http://bit.ly/2cE60sp Copy (short for Copyright) explains what text and data mining (TDM) is all about, and what hurdles researchers are currently facing. We also have a blog post on the TDM bits in the EC's Impact Assessment accompanying the proposal: http://bit.ly/2du9sYe Read more about the EC's copyright reform proposals in general: http://bit.ly/2cvAh0a
Views: 3429 FixCopyright
2017 - 2018 IEEE Data Mining Projects for ME / MTech / BE / BTech / MPhil Projects Topics List
 
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BULK IEEE PROJECTS 2017 - 2018 in chennai 1 Crore Projects is a leading Guide for ieee Projects and real time projects Works Provider. We Provided Best bulk IEEE projects low cost for Companies Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training. Project Domain IEEE PROJECTS 2017 - 2018 1.Cloud Computing 2.Datamining 3.Networking 4.N/W Security 5.S/W Engineering 6.Mobile Computing 7.Image Processing 8.Wireless Technologies 9.Secured Computing 10.S/W Testing 11.Grid Computing 12.Biometrics 13.Matlab project 14.Ns2 project 15.Embedded project 16.Robotics project 17.IOT Projects Real Time application Projects 1.Java 2.Dotnet 3.Embedded system Projects Development Technology 1. Java / J2EE 2. Dotnet 3. Matlab 4. VLSI 5. NS2 / NS3 6. Embedded System Hardware 7. Python 8. Open CV 9. MVC Projects 10.PHP 11.Cloud Server 12.Weka Tools 13.ADS Software 14.Ansys HFSS Project Support Terms 1. 100% Output demo by Team viewer/Skype 2. Dedicated 10 am to 6 pm support team 3 Project Video demo 4. On-time delivery 5. Customized Software Installation in students laptop 5. One to One Project Guidance 6. Document support for all reviews For any Projects drop your Project Topics @ [email protected]
Views: 1276 1 Crore Projects
Statistical Aspects of Data Mining (Stats 202) Day 3
 
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Google Tech Talks July 3, 2007 ABSTRACT This is the Google campus version of Stats 202 which is being taught at Stanford this summer. I will follow the material from the Stanford class very closely. That material can be found at www.stats202.com. The main topics are exploring and visualizing data, association analysis, classification, and clustering. The textbook is Introduction to Data Mining by Tan, Steinbach and Kumar. Googlers are welcome to attend any classes which they think might be of interest to them. Credits: Speaker:David Mease
Views: 41372 GoogleTechTalks