Data Mining

A computational process of discovering patterns in large data sets ("big data") with the overall goal of extracting information and transform it into an understandable structure for further use.

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Books under this sub-category (14 books)

A Programmer's Guide to Data Mining: The Ancient Art of the Numerati

Post date: 12 Apr 2016
A guide to practical data mining, collective intelligence, and building recommendation systems by Ron Zacharski.
 
A Programmer's Guide to Data Mining: The Ancient Art of the Numerati

A Programmer's Guide to Data Mining: The Ancient Art of the Numerati

Post date: 12 Apr 2016
A guide to practical data mining, collective intelligence, and building recommendation systems by Ron Zacharski.

Computer Science & Information Technology

Post date: 17 Apr 2017
Proceeding from the Fourth International Conference on Computer Science and Information Technology (CoSIT 2017) Geneva, Switzerland, March 25-26, 2017.
 
Computer Science & Information Technology

Computer Science & Information Technology

Post date: 17 Apr 2017
Proceeding from the Fourth International Conference on Computer Science and Information Technology (CoSIT 2017) Geneva, Switzerland, March 25-26, 2017.

Data Mining - Desktop Survival Guide

Post date: 19 Nov 2006
This book presents a unique and easily accessible single stop resource for the data miner, providing a practical guide to actually doing data mining. It is accessible to the information technology worker, the software engineer, and the data analyst.
Author(s): Graham Williams
Publication date: 11 Nov 2006
Tags: Data Mining
 
Data Mining - Desktop Survival Guide

Data Mining - Desktop Survival Guide

Post date: 19 Nov 2006
This book presents a unique and easily accessible single stop resource for the data miner, providing a practical guide to actually doing data mining. It is accessible to the information technology worker, the software engineer, and the data analyst.
Author(s): Graham Williams
Publication date: 11 Nov 2006
Tags: Data Mining


Data Mining and Analysis - Fundamental Concepts and Algorithms

Post date: 11 May 2015
This textbook for senior undergraduate and graduate data mining courses provides a broad yet in-depth overview of data mining, integrating related concepts from machine learning and statistics.
Author(s): Wagner Meira Jr. Mohammed J. Zaki
Publication date: 12 May 2014
Tags: Data Mining
 
Data Mining and Analysis - Fundamental Concepts and Algorithms

Data Mining and Analysis - Fundamental Concepts and Algorithms

Post date: 11 May 2015
This textbook for senior undergraduate and graduate data mining courses provides a broad yet in-depth overview of data mining, integrating related concepts from machine learning and statistics.
Author(s): Wagner Meira Jr. Mohammed J. Zaki
Publication date: 12 May 2014
Tags: Data Mining


Data Mining with Python

Post date: 28 Oct 2016
This book grew out of DTU Course 02819: Data Mining Using Python given at the Technical University of Denmark. It should not be regarded as an introduction to Python.
Author(s): Finn Årup Nielsen
Publication date: 08 May 2015
Document Type: Book
Tags: Data Mining Python
 
Data Mining with Python

Data Mining with Python

Post date: 28 Oct 2016
This book grew out of DTU Course 02819: Data Mining Using Python given at the Technical University of Denmark. It should not be regarded as an introduction to Python.
Author(s): Finn Årup Nielsen
Publication date: 08 May 2015
Document Type: Book
Tags: Data Mining Python


Electronic Statistics Textbook

Post date: 14 Apr 2016
This textbook offers training in the understanding and application of statistics and data mining. The material was developed at the StatSoft R&D department based on many years of teaching undergraduate and graduate statistics courses.
Author(s): Thomas Hill Paul Lewicki
Publication date: 31 Dec 2013
Tags: Data Mining Statistics
 
Electronic Statistics Textbook

Electronic Statistics Textbook

Post date: 14 Apr 2016
This textbook offers training in the understanding and application of statistics and data mining. The material was developed at the StatSoft R&D department based on many years of teaching undergraduate and graduate statistics courses.
Author(s): Thomas Hill Paul Lewicki
Publication date: 31 Dec 2013
Tags: Data Mining Statistics


KB – Neural Data Mining with Python sources

Post date: 03 Oct 2016
The aim of this book is to present and describe in detail the algorithms to extract the knowledge hidden inside data using Python language.
Author(s): Roberto Bello
Publication date: 31 Mar 2013
Document Type: Book
Tags: Data Mining Python
 
KB – Neural Data Mining with Python sources

KB – Neural Data Mining with Python sources

Post date: 03 Oct 2016
The aim of this book is to present and describe in detail the algorithms to extract the knowledge hidden inside data using Python language.
Author(s): Roberto Bello
Publication date: 31 Mar 2013
Document Type: Book
Tags: Data Mining Python


Machine Learning and Data Mining Lecture Notes

Post date: 05 Aug 2016
Lecture notes for CSC 411 Machine Learning and Data Mining course at the University of Toronto.
Author(s): David J. Fleet Aaron Hertzmann
Publication date: 06 Feb 2012
Document Type: Lecture Notes
Tags: Data Mining Machine Learning
 
Machine Learning and Data Mining Lecture Notes

Machine Learning and Data Mining Lecture Notes

Post date: 05 Aug 2016
Lecture notes for CSC 411 Machine Learning and Data Mining course at the University of Toronto.
Author(s): David J. Fleet Aaron Hertzmann
Publication date: 06 Feb 2012
Document Type: Lecture Notes
Tags: Data Mining Machine Learning


Mining of Massive Datasets

Post date: 17 Jan 2012
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.
Author(s): Jure Leskovec Anand Rajaraman Jeffrey D. Ullman
Publication date: 31 Dec 2014
Tags: Data Mining
 
Mining of Massive Datasets

Mining of Massive Datasets

Post date: 17 Jan 2012
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.
Author(s): Jure Leskovec Anand Rajaraman Jeffrey D. Ullman
Publication date: 31 Dec 2014
Tags: Data Mining


Multi-Relational Data Mining

Post date: 05 Sep 2010
This Ph.D. thesis focuses on Multi-Relational Data Mining (MRDM), a Data Mining technique that revolves around relational database theory. It also includes the practical implementation of MRDM in an enterprise environment.
Author(s): Arno Jan Knobbe
Publication date: 01 Nov 2004
Tags: Data Mining
 
Multi-Relational Data Mining

Multi-Relational Data Mining

Post date: 05 Sep 2010
This Ph.D. thesis focuses on Multi-Relational Data Mining (MRDM), a Data Mining technique that revolves around relational database theory. It also includes the practical implementation of MRDM in an enterprise environment.
Author(s): Arno Jan Knobbe
Publication date: 01 Nov 2004
Tags: Data Mining


Social Media Mining - An Introduction

Post date: 04 Oct 2016
This book integrates social media, social network analysis, and data mining to provide a convenient and coherent platform for students, practitioners, researchers, and project managers to understand the basics and potentials of social media mining.
Author(s): Mohammad Ali Abbasi Huan Liu Reza Zafarani
Publication date: 20 Apr 2014
Document Type: Book
Tags: Data Mining
 
Social Media Mining - An Introduction

Social Media Mining - An Introduction

Post date: 04 Oct 2016
This book integrates social media, social network analysis, and data mining to provide a convenient and coherent platform for students, practitioners, researchers, and project managers to understand the basics and potentials of social media mining.
Author(s): Mohammad Ali Abbasi Huan Liu Reza Zafarani
Publication date: 20 Apr 2014
Document Type: Book
Tags: Data Mining


Statistical Data Mining

Post date: 13 Jun 2016
A text for a short course in statistical data mining.
Author(s): Brian D. Ripley
Publication date: 01 May 2002
Tags: Data Mining Statistics
 
Statistical Data Mining

Statistical Data Mining

Post date: 13 Jun 2016
A text for a short course in statistical data mining.
Author(s): Brian D. Ripley
Publication date: 01 May 2002
Tags: Data Mining Statistics


The Elements of Statistical Learning: Data Mining, Inference, and Prediction.

Post date: 08 Apr 2016
This book descibes the important ideas of data mining, machine learning, and bioinformatics in a common conceptual framework. Topics include neural networks, support vector machines, classification trees and boosting.
 
The Elements of Statistical Learning: Data Mining, Inference, and Prediction.

The Elements of Statistical Learning: Data Mining, Inference, and Prediction.

Post date: 08 Apr 2016
This book descibes the important ideas of data mining, machine learning, and bioinformatics in a common conceptual framework. Topics include neural networks, support vector machines, classification trees and boosting.

Theory and Applications for Advanced Text Mining

Post date: 13 Jun 2016
This book is composed of 9 chapters introducing advanced text mining techniques. They are various techniques from relation extraction to under or less resourced language.
 
Theory and Applications for Advanced Text Mining

Theory and Applications for Advanced Text Mining

Post date: 13 Jun 2016
This book is composed of 9 chapters introducing advanced text mining techniques. They are various techniques from relation extraction to under or less resourced language.

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