学习数据挖掘的经典教材，全面详实。

本人数据挖掘课程设计 利用pycharm +python进行开发 有详细的文档说明

Data Mining and Analysis_Fundamental Concepts and Algorithms_2014

机器学习和数据挖掘方面的两本 世界名著 之一 本书从应用出发，原理非常完整。

Time Series Shapelets A New Primitive for Data Mining shapelets论文2009

FEATURE SELECTION FOR KNOWLEDGE DISCOVERY AND DATA MINING

论文设计了基于 Hadoop 的微博信息挖掘系统。该系统针对单一节点在分析微博海量数据的性能瓶颈问题， 利用分布式和虚拟化技术的优势，将微博信息获取和相关数据分析进行有机整合，实现了一个基于Hadoop 的微博信息挖 掘平台。为验证该平台运行的有效性，论文采用获取热点话题做实验，展示了系统对微博信息的挖掘结果。实验结果表明， 该系统能有效获取微博相关信息，高效的处理海量微博数据，得到有价值的数据信息。

earning Data Mining with Python - Second Edition by Robert Layton English | 4 May 2017 | ASIN: B01MRP7VFV | 358 Pages | AZW3 | 2.85 MB Key Features Use a wide variety of Python libraries for practical data mining purposes. Learn how to find, manipulate, analyze, and visualize data using Python. Step-by-step instructions on data mining techniques with Python that have real-world applications. Book Description This book teaches you to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis. This book covers a large number of libraries available in Python, including the Jupyter Notebook, pandas, scikit-learn, and NLTK. You will gain hands on experience with complex data types including text, images, and graphs. You will also discover object detection using Deep Neural Networks, which is one of the big, difficult areas of machine learning right now. With restructured examples and code samples updated for the latest edition of Python, each chapter of this book introduces you to new algorithms and techniques. By the end of the book, you will have great insights into using Python for data mining and understanding of the algorithms as well as implementations. What you will learn Apply data mining concepts to real-world problems Predict the outcome of sports matches based on past results Determine the author of a document based on their writing style Use APIs to download datasets from social media and other online services Find and extract good features from difficult datasets Create models that solve real-world problems Design and develop data mining applications using a variety of datasets Perform object detection in images using Deep Neural Networks Find meaningful insights from your data through intuitive visualizations Compute on big data, including real-time data from the internet About the Author Robert Layton is a data scientist working mainly on text mining problems for industries incl

Encyclopedia of Machine Learning and Data Mining, Second Edition By Claude Sammut, Geoffrey I. Webb English | PDF | 2017 | 1341 Pages | ISBN : 148997685X | 30.82 MB This authoritative, expanded and updated second edition of Encyclopedia of Machine Learning and Data Mining provides easy access to c

《The Elements of Statistical Learning-Data Mining, Inference, and Prediction》英文原版教材第二版