1. Coverage, Data Mining & Machine Learning in Verification - icdst
  2. Machine Learning Overview - CEDAR - University at Buffalo
  3. Does Machine Learning Really Work? - Semantic Scholar
  4. A statistical perspective on data mining - Madhu Sudan
  5. Machine learning in bioinformatics - Oxford Journals
  6. An Introduction to Feature Extraction - ClopiNet
  7. A Comparative Study of Training Algorithms for Supervised Machine ...
  8. Text Mining with Information Extraction - UT Computer Science
  9. Data Mining - icdst
  10. A Learning Method for Developing PROAFTN - Springer Link
  11. A Survey on Transfer Learning - CiteSeerX
  12. A Study on Autism Spectrum Disorders using - International Journal ...
  13. Introduction to the IEEE Transactions on Big Data - IEEE Computer ...
  14. Human-Centric Justification of Machine Learning Predictions - IJCAI
  15. A Perspective Analysis of Traffic Accident using Data ... - CiteSeerX
  16. Support Vector Machines - Nanyang Technological University
  17. Machine Learning: A very quick introduction
  18. machine learning - icdst
  19. A Survey and Comparative Analysis of Data ... - Semantic Scholar
  20. A Comparison of Different Classification Techniques for - CiteSeerX
  21. From Machine Learning to Machine Reasoning - arXiv
  22. A Survey & Current Research Challenges in Meta Learning ...
  23. A Hybrid Approach Based On Association Rule Mining - CiteSeerX
  24. A Study of Data Mining Tools in Knowledge Discovery Process
  25. THE TEXT MINING HANDBOOK: Advanced Approaches in ...
  26. Intelligate: Scalable Dynamic Invariant Learning for Power ... - Rice CS
  27. Crowdsourcing for Search and Data Mining (CSDM 2011)
  28. Data-intensive applications, challenges - Department of Statistics
  29. Privacy-Preserving Data Integration and Sharing - Wisc
  30. Identifying Rare Diseases from Behavioural Data: A Machine ...
  31. machine learning, intrinsic criticism, and the ... - Semantic Scholar
  32. Comparative Study of Selected Data Mining Algorithms Used For ...
  33. Probabilistic machine learning and artificial ... - CSE - IIT Kanpur
  34. The Analysis of Adaptive Data Collection Methods for Machine ...
  35. Location Mining in Online Social Networks - UT Dallas
  36. Link Prediction using Supervised Learning - Computer Science
  37. Untitled - icdst
  38. active learning - Stanford Artificial Intelligence Laboratory
  39. Big Data for Remote Sensing - UMBC
  40. Artificial Intelligence in Law: The State of Play 2016 - Neota Logic
  41. Big Data Analytics for Security Intelligence - Cloud Security Alliance
  42. Frontiers in Massive Data Analysis - Department of Statistics
  43. Data Clustering: 50 Years Beyond K-Means - Semantic Scholar
  44. Practical Evasion of a Learning-Based Classifier: A ... - UT Dallas
  45. Basic Concepts in Big Data - University of Illinois at Urbana ...
  46. An Introduction to ROC Curve (Receiver Operating Characteristics)
  47. Mathematics of Machine Learning Lecture 1 Notes - MIT ...
  48. Online Learning for Big Data Analytics - College of Computing ...
  49. Exploring the Impact of Artificial Intelligence: Prediction versus ...
  50. from big data to better decisions - Domo
  51. Machine Learning with MALLET
  52. Assessing the Quality of Unstructured Data: An ... - Semantic Scholar
  53. Survey of Multi Relational Classification (MRC) - International ...
  54. An Empirical Evaluation of Density-Based Clustering Techniques
  55. Improving the performance of Transposable ... - Semantic Scholar
  56. Sampling Methods for Random Subspace Domain Adaptation
  57. Detecting Phishing Websites Using Associative - Academic Hosting ...
  58. The Apprentice Learner architecture - Educational Data Mining
  59. Variable Selection in Data Mining - Semantic Scholar
  60. A Survey and Current Research Challenges in Multi-Label ...
  61. A Study of Semantic Web Mining: Integrating Domain Knowledge ...
  62. Web Usage Mining - UNED
  63. IJCA Template - International Journal of Computer Applications
  64. A comparative assessment of classification methods - UT Dallas
  65. Big data and analytics – what's new? - ICAEW.com
  66. An Efficient Algorithm for Mining Frequent Sequential Patterns and ...
  67. A Machine Learning Framework to Detect And Document Text ...
  68. Keyphrases Extraction from Scientific Documents - icdst
  69. Supervised k-Means Clustering - Cornell Computer Science
  70. Data Mining in Sports - Artificial Intelligence Laboratory
  71. k-Means Clustering via the Frank-Wolfe Algorithm
  72. Gaussian Processes for Machine Learning
  73. A Grouping of Cancer in Human Health using Clustering Data ...
  74. A Survey of Software Fault Localization - UT Dallas
  75. Sequential Modeling and Structural Anomaly Analytics in Industrial ...
  76. Sentiment Analysis on Twitter with Stock Price and ... - NewsHedge
  77. Learning to Create Data-Integrating Queries - CIS @ UPenn
  78. Segmenting Customers from Population to - NYU
  79. Improving DDM Performance By Combining Distributed Data Mining ...
  80. Towards rapidly developing database-supported machine learning ...
  81. Semi-supervised Graph Clustering: A Kernel Approach
  82. WEKA Manual for Version 3-7-8 - Stanford Statistics
  83. A Study of the Factors Considered when Choosing an Appropriate ...
  84. Information Retrieval and Question Answering ... - Semantic Scholar
  85. Machine Learning in Automated Text Categorization - Computer ...
  86. Clustering by a genetic algorithm with biased mutation ... - DiVA portal
  87. A Statistical Learning Model of Text Classification for Support Vector ...
  88. Social Influence Analysis in Large-scale Networks
  89. Traffic Classification using a Statistical Approach - Cambridge ...
  90. Big data: changing the way businesses compete and operate - EY
  91. An integrative approach to modelling biological networks
  92. A Sentimental Education: Sentiment Analysis Using Subjectivity ...
  93. A Modified Differential Evolution Algorithm trained Pi-Sigma Neural ...
  94. Learning to Discover Social Circles in Ego Networks - UCSD CSE
  95. Shingled Graph Disassembly: Finding the Undecideable ... - UT Dallas
  96. Credit Card Fraud Detection & Prevention of Fraud - CiteSeerX
  97. INVERSE PROBLEMS AND MACHINE LEARNING The - icdst
  98. Learning from Ambiguous Examples - Brown CS - Brown University
  99. Big Data Analytics Options on AWS
  100. 2014 Computer Science Department Newsletter - UCLA CS

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