Data Mining Concepts and Techniques

• Author : Jiawei Han,Jian Pei,Micheline Kamber
• Publisher : Elsevier
• Release : 09 June 2011

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

• Author : Jiawei Han,Jian Pei,Hanghang Tong
• Publisher : Morgan Kaufmann
• Release : 01 October 2022

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 (

• Author : Han, Jiawei·韩家炜,Micheline Kamber
• Publisher : Unknown
• Release : 07 June 2023

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。

• Author : Jiawei Han
• Publisher : Unknown
• Release : 07 June 2023

• Author : 韩家炜
• Publisher : Unknown
• Release : 07 June 2023

• Author : Florin Gorunescu
• Publisher : Springer Science & Business Media
• Release : 10 March 2011

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

• Author : Guozhu Dong,James Bailey
• Publisher : CRC Press
• Release : 19 April 2016

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,

• Author : Management Association, Information Resources
• Publisher : IGI Global
• Release : 30 November 2012

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.

• Author : Vikram Pudi,P. Radha Krishna
• Publisher : Unknown
• Release : 07 June 2023

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.

• Author : Galit Shmueli,Peter C. Bruce,Peter Gedeck,Nitin R. Patel
• Publisher : John Wiley & Sons
• Release : 05 November 2019

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,

• Author : Jiawei Han,Micheline Kamber
• Publisher : Morgan Kaufmann
• Release : 07 June 2023

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

• Author : Jiawei Han,Jian Pei,Micheline Kamber
• Publisher : Unknown
• Release : 07 June 2023

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

• Author : Wang, John
• Publisher : IGI Global
• Release : 31 May 2008

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.

• Author : Mehmed Kantardzic
• Publisher : John Wiley & Sons
• Release : 12 November 2019

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

• Author : Galit Shmueli,Nitin R. Patel,Peter C. Bruce
• Publisher : John Wiley & Sons
• Release : 11 December 2006

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