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 (12 books)

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

Post date: 13 Apr 2016
A guide to practical data mining, collective intelligence, and building recommendation systems by Ron Zacharski.
Publication date: 31 Dec 2015
License: Creative Commons Attribution-NonCommercial 3.0 Unported
 
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: 13 Apr 2016
A guide to practical data mining, collective intelligence, and building recommendation systems by Ron Zacharski.
Publication date: 31 Dec 2015
License: Creative Commons Attribution-NonCommercial 3.0 Unported


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.
Publisher: AIRCC Publishing Corporation
Publication date: 01 Apr 2017
License: Creative Commons Attribution 4.0 International
Document Type: Proceeding
 
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.
Publisher: AIRCC Publishing Corporation
Publication date: 01 Apr 2017
License: Creative Commons Attribution 4.0 International Document Type: Proceeding


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.
Publication date: 11 Nov 2006
 
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.
Publication date: 11 Nov 2006


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.
Publication date: 29 Nov 2017
Document Type: Book
 
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.
Publication date: 29 Nov 2017
Document Type: Book


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.
Publisher: StatSoft Inc.
Publication date: 31 Dec 2013
Document Type: Textbook
 
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.
Publisher: StatSoft Inc.
Publication date: 31 Dec 2013
Document Type: Textbook


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.
Publication date: 31 Mar 2013
Document Type: Book
 
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.
Publication date: 31 Mar 2013
Document Type: Book


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.
Publication date: 06 Feb 2012
Document Type: Lecture Notes
 
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.
Publication date: 06 Feb 2012
Document Type: Lecture Notes


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.
Publisher: Cambridge University Press
Publication date: 31 Dec 2014
 
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.
Publisher: Cambridge University Press
Publication date: 31 Dec 2014


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.
Publication date: 01 Nov 2004
 
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.
Publication date: 01 Nov 2004


Statistical Data Mining

Post date: 13 Jun 2016
A text for a short course in statistical data mining.
Publication date: 01 May 2002
 
Statistical Data Mining

Statistical Data Mining

Post date: 13 Jun 2016
A text for a short course in statistical data mining.
Publication date: 01 May 2002


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

Post date: 09 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.
Publisher: Springer-Verlag GmbH
Publication date: 01 Dec 2015
Document Type: Textbook
 
The Elements of Statistical Learning: Data Mining, Inference, and Prediction.

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

Post date: 09 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.
Publisher: Springer-Verlag GmbH
Publication date: 01 Dec 2015
Document Type: Textbook


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.
Publisher: InTech
Publication date: 21 Nov 2012
License: Creative Commons Attribution 3.0 Unported
 
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.
Publisher: InTech
Publication date: 21 Nov 2012
License: Creative Commons Attribution 3.0 Unported


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