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.
All categoriesBooks under this sub-category (12 books)
A Programmer's Guide to Data Mining: The Ancient Art of the Numerati
Post date: 13 Apr 2016A 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
Post date: 13 Apr 2016A 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
License: Creative Commons Attribution-NonCommercial 3.0 Unported
Computer Science & Information Technology
Post date: 17 Apr 2017Proceeding 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
Publication date: 01 Apr 2017
License: Creative Commons Attribution 4.0 International
Document Type: Proceeding
Computer Science & Information Technology
Post date: 17 Apr 2017Proceeding 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
Publication date: 01 Apr 2017
License: Creative Commons Attribution 4.0 International Document Type: Proceeding
Data Mining - Desktop Survival Guide
Post date: 20 Nov 2006This 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
Post date: 20 Nov 2006This 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
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.
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
Document Type: Book
Post date: 28 Oct 2016This 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
Document Type: Book
Electronic Statistics Textbook
Post date: 14 Apr 2016This 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.
Electronic Statistics Textbook
Post date: 14 Apr 2016This 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.
KB – Neural Data Mining with Python sources
Post date: 03 Oct 2016The 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
Document Type: Book
KB – Neural Data Mining with Python sources
Post date: 03 Oct 2016The 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
Document Type: Book
Machine Learning and Data Mining Lecture Notes
Post date: 05 Aug 2016Lecture notes for CSC 411 Machine Learning and Data Mining course at the University of Toronto.
Publication date: 06 Feb 2012
Document Type: Lecture Notes
Document Type: Lecture Notes
Machine Learning and Data Mining Lecture Notes
Post date: 05 Aug 2016Lecture notes for CSC 411 Machine Learning and Data Mining course at the University of Toronto.
Publication date: 06 Feb 2012
Document Type: Lecture Notes
Document Type: Lecture Notes
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.
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.
Post date: 17 Jan 2012This 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.
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.
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
Post date: 05 Sep 2010This 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
Post date: 13 Jun 2016
A text for a short course in statistical data mining.
A text for a short course in statistical data mining.
Publication date: 01 May 2002
Post date: 13 Jun 2016A 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 2016This 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.
Post date: 09 Apr 2016This 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 2016This 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
Post date: 13 Jun 2016This 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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