mining of massive datasets

  • Mining of Massive Datasets

    Big-data is transforming the world. Here you will learn data mining and machine learning techniques to process large datasets and extract valuable knowledge from them.

  • Mining Massive Datasets - Class Central

    This class teaches algorithms for extracting models and other information from very large amounts of data. The emphasis is on techniques that are efficient and that ...

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  • SNAP: Stanford Network Analysis Project

    SNAP for C++: Stanford Network Analysis Platform. Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

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    r-directory > Reference Links > Free Data Sets Free Datasets. If you work with statistical programming long enough, you're going ta want to find more data to work ...

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    The ACM Digital Library is a research, discovery and networking platform containing: The Full-Text Collection of all ACM publications, including journals, conference ...

  • Analytics and Data Science (Kurt Thearling)

    Data Science, sometimes called data mining, is the automated extraction of hidden predictive information from large data sets. I have spent much of the last two ...

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  • 14 useful applications of data mining - Big Data …

    Here is the list of 14 other important areas where data mining is successfully used.

  • How To Get Experience Working With Large …

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    Highlights. Explains how machine learning algorithms for data mining work. Helps you compare and evaluate the results of different techniques.

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  • 25+ websites to find datasets for data science …

    A list of websites & resources which provide you with several datasets for your data science projects. This includes image recognition & text classification

  • What is the difference between Data Analytics, …

    What is the difference between Data Analytics, Data Analysis, Data Mining, Data Science, Machine Learning, and Big Data?

  • Mining Massive Datasets (Self-Paced) | ONLINE

    Welcome to the self-paced version of Mining of Massive Datasets! The course is based on the text Mining of Massive Datasets by Jure Leskovec, Anand Rajaraman, and Jeff Ullman, who by coincidence are also the instructors for the course.

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  • Mining of Massive Datasets by Anand …

    The mining of massive datasets a clear, practical, and studied exploration of how to extract meaning from huge datasets (Terabytes, Exabytes, Petabytes oh my). I recommend the free version.

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  • Mining of Massive Datasets | Machine Learning …

    Mining of Massive Datasets. Anand Rajaraman Jure Leskovec Stanford Univ. Jeffrey D. Ullman Stanford Univ. Copyright c 2010, 2011, 2012, 2013 Anand Rajaraman, Jure Leskovec, and Jeffrey D. Ullman ii Preface This book evolved from material developed over several years by Anand Rajaraman and Jeff Ullman for a one-quarter course at …

  • Mining of Massive Datasets - Association for …

    The popularity of the Web and Internet commerce provides many extremely large datasets from which information can be gleaned by data mining. This book focuses on practical algorithms that have been used to solve key problems in data mining and which can be used on even the largest datasets.

  • 作者:Anand Rajaraman · Jeffrey D Ullman从属关系: Stanford University
  • Mining of massive datasets - Technology - …

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  • Mining of Massive Datasets - Cambridge University Press

    Mining of Massive Datasets The popularity of the Web and Internet commerce provides many extremely large datasets from which information can be gleaned by data mining. This book focuses on practical algorithms that have been used to solve key problems in data mining and can be used on even the largest datasets.

  • 作者:Anand Rajaraman · Jeffrey D Ullman从属关系: Stanford University