Data Mining Concepts and Techniques

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  • Author : Jiawei Han
  • Publisher : Elsevier
  • Pages : 744 pages
  • ISBN : 9780123814807
  • Rating : 3.5/5 from 5 reviews
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Download or Read online Data Mining Concepts and Techniques full in PDF, ePub and kindle. this book written by Jiawei Han and published by Elsevier which was released on 09 June 2011 with total page 744 pages. We cannot guarantee that Data Mining Concepts and Techniques book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data

Data Mining Concepts and Techniques

Data Mining  Concepts and Techniques
  • Author : Jiawei Han,Jian Pei,Micheline Kamber
  • Publisher : Elsevier
  • Release : 09 June 2011
GET THIS BOOK Data Mining Concepts and Techniques

Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing

Data Mining

Data Mining
  • Author : Jiawei Han,Jian Pei,Hanghang Tong
  • Publisher : Morgan Kaufmann
  • Release : 01 October 2022
GET THIS BOOK Data Mining

Data Mining: Concepts and Techniques, Fourth Edition provides the theories and methods for processing data or information used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from collected data, known as KDD. The book focuses on the feasibility, usefulness, effectiveness and scalability of techniques of large datasets. After describing data mining, the authors explain the methods of knowing, preprocessing, processing and warehousing data. They then present information about data warehouses, online analytical processing (

Data mining

                                                          Data mining
  • Author : Han, Jiawei·韩家炜,Micheline Kamber
  • Publisher : Unknown
  • Release : 07 June 2023
GET THIS BOOK Data mining

本书最完整、最全面地讲述了数据挖掘领域的重要知识和技术创新。展示了该领域的最新研究成果,例如挖掘流、时序数据和序列数据以及挖掘空间等。

Data Mining

Data Mining
  • Author : Florin Gorunescu
  • Publisher : Springer Science & Business Media
  • Release : 10 March 2011
GET THIS BOOK Data Mining

The knowledge discovery process is as old as Homo sapiens. Until some time ago this process was solely based on the ‘natural personal' computer provided by Mother Nature. Fortunately, in recent decades the problem has begun to be solved based on the development of the Data mining technology, aided by the huge computational power of the 'artificial' computers. Digging intelligently in different large databases, data mining aims to extract implicit, previously unknown and potentially useful information from data, since “knowledge

Contrast Data Mining

Contrast Data Mining
  • Author : Guozhu Dong,James Bailey
  • Publisher : CRC Press
  • Release : 19 April 2016
GET THIS BOOK Contrast Data Mining

A Fruitful Field for Researching Data Mining Methodology and for Solving Real-Life Problems Contrast Data Mining: Concepts, Algorithms, and Applications collects recent results from this specialized area of data mining that have previously been scattered in the literature, making them more accessible to researchers and developers in data mining and other fields. The book not only presents concepts and techniques for contrast data mining, but also explores the use of contrast mining to solve challenging problems in various scientific, medical,

Data Mining Concepts Methodologies Tools and Applications

Data Mining  Concepts  Methodologies  Tools  and Applications
  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release : 30 November 2012
GET THIS BOOK Data Mining Concepts Methodologies Tools and Applications

Data mining continues to be an emerging interdisciplinary field that offers the ability to extract information from an existing data set and translate that knowledge for end-users into an understandable way. Data Mining: Concepts, Methodologies, Tools, and Applications is a comprehensive collection of research on the latest advancements and developments of data mining and how it fits into the current technological world.

Data Mining

Data Mining
  • Author : Vikram Pudi,P. Radha Krishna
  • Publisher : Unknown
  • Release : 07 June 2023
GET THIS BOOK Data Mining

Designed to serve as a textbook for undergraduate computer science engineering and MCA students, Data Mining: Concepts and Techniques imparts a clear understanding of the algorithms and techniques that can be used to structure large databases and then extract interesting patterns from them.

Data Mining for Business Analytics

Data Mining for Business Analytics
  • Author : Galit Shmueli,Peter C. Bruce,Peter Gedeck,Nitin R. Patel
  • Publisher : John Wiley & Sons
  • Release : 05 November 2019
GET THIS BOOK Data Mining for Business Analytics

Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction,

Data Mining

Data Mining
  • Author : Jiawei Han,Micheline Kamber
  • Publisher : Morgan Kaufmann
  • Release : 07 June 2023
GET THIS BOOK Data Mining

Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and

Data Mining

Data Mining
  • Author : Jiawei Han,Jian Pei,Micheline Kamber
  • Publisher : Unknown
  • Release : 07 June 2023
GET THIS BOOK Data Mining

Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing

Data Warehousing and Mining Concepts Methodologies Tools and Applications

Data Warehousing and Mining  Concepts  Methodologies  Tools  and Applications
  • Author : Wang, John
  • Publisher : IGI Global
  • Release : 31 May 2008
GET THIS BOOK Data Warehousing and Mining Concepts Methodologies Tools and Applications

In recent years, the science of managing and analyzing large datasets has emerged as a critical area of research. In the race to answer vital questions and make knowledgeable decisions, impressive amounts of data are now being generated at a rapid pace, increasing the opportunities and challenges associated with the ability to effectively analyze this data.

Data Mining

Data Mining
  • Author : Mehmed Kantardzic
  • Publisher : John Wiley & Sons
  • Release : 12 November 2019
GET THIS BOOK Data Mining

Presents the latest techniques for analyzing and extracting information from large amounts of data in high-dimensional data spaces The revised and updated third edition of Data Mining contains in one volume an introduction to a systematic approach to the analysis of large data sets that integrates results from disciplines such as statistics, artificial intelligence, data bases, pattern recognition, and computer visualization. Advances in deep learning technology have opened an entire new spectrum of applications. The author—a noted expert on

Data Mining for Business Intelligence

Data Mining for Business Intelligence
  • Author : Galit Shmueli,Nitin R. Patel,Peter C. Bruce
  • Publisher : John Wiley & Sons
  • Release : 11 December 2006
GET THIS BOOK Data Mining for Business Intelligence

Learn how to develop models for classification, prediction, and customer segmentation with the help of Data Mining for Business Intelligence In today's world, businesses are becoming more capable of accessing their ideal consumers, and an understanding of data mining contributes to this success. Data Mining for Business Intelligence, which was developed from a course taught at the Massachusetts Institute of Technology's Sloan School of Management, and the University of Maryland's Smith School of Business, uses real data and actual cases