PDF4PRO ⚡AMP

Modern search engine that looking for books and documents around the web

Example: air traffic controller

Data Mining: Concepts and Techniques

data mining : Concepts and TechniquesData mining : Concepts and TechniquesSecond EditionJiawei HanandMicheline KamberUniversity of Illinois at Urbana-ChampaignA M S T E R D A M B O S T O NH E I D E L B E R G L O N D O NN E W Y O R K O X F O R D P A R I SS A N D I E G O S A N F R A N C I S C OS I N G A P O R E S Y D N E Y T O K Y OPublisherDiane CerraPublishingServices Manager Simon CrumpEditorial AssistantAsma StephanCover DesignCover ImageCover IllustrationText DesignCompositiondiacriTechTechnical IllustrationDartmouth Publishing, PressProofreaderMultiscience PressIndexerMultiscience PressInterior printerMaple-Vail Book Manufacturing GroupCover printerPhoenix ColorMorgan Kaufmann Publishers is an imprint of Sansome Street, Suite 400, San Francisco, CA 94111 This book is printed on acid-free 2006 by Elsevier Inc.

3.5 From Data Warehousing to Data Mining 146 3.5.1 Data Warehouse Usage 146 3.5.2 From On-Line Analytical Processing to On-Line Analytical Mining 148 3.6 Summary 150 Exercises 152 Bibliographic Notes 154 Chapter 4 Data Cube Computation and Data Generalization 157 4.1 Efficient Methods for Data Cube Computation 157

Fullscreen Download

Tags:

  Data, Mining, Data mining

Information

Domain:

Source:

Link to this page:

Please notify us if you found a problem with this document:

Spam in document Broken preview Other abuse

Transcription of Data Mining: Concepts and Techniques

Documents from same domain

Data Mining: Concepts and Techniques

hanj.cs.illinois.edu

2.4 Data Integration and Transformation 67 2.4.1 Data Integration 67 2.4.2 Data Transformation 70 2.5 Data Reduction 72 2.5.1 Data Cube Aggregation 73 2.5.2 Attribute Subset Selection 75 2.5.3 Dimensionality Reduction 77 2.5.4 Numerosity Reduction 80 2.6 Data Discretization and Concept Hierarchy Generation 86

  Selection, Integration

2.4.8 Kullback-Leibler Divergence

hanj.cs.illinois.edu

from an observed frequency distribution, as illustrate in the following example. Example 2.24. Computing the KL Divergence by Smoothing. Sup-pose there are two sample distributions P and Q as follows: P: (a: 3/5,b:

  Distribution, Frequency, Divergence, 8 kullback leibler divergence, Kullback, Leibler

Related documents

Chapter 19. Data Warehousing and Data Mining

www.cs.uct.ac.za

Data mining is a process of extracting information and patterns, which are pre-viously unknown, from large quantities of data using various techniques ranging from machine learning to statistical methods. Data could have been stored in files, Relational or OO databases, or data warehouses. In this chapter, we will

  Data, Chapter, Mining, Warehousing, Data mining, Chapter 19, Data warehousing and data mining

Web Mining - Data Analysis and Management Research Group

dmr.cs.umn.edu

Web mining is the application of data mining techniques to ex-tract knowledge from web data, i.e. web content, web structure, and web usage data. The attention paid to web mining, in research, software industry, and web-based organization, has led to the accumulation of significant experience. It is

  Data, Mining, Data mining

Ethics and data protection - European Commission

ec.europa.eu

as ‘sensitive data’), profiling, automated decision-making, data-mining techniques, big-data analytics and artificial intelligence, as such processing operations may pose higher risks to the rights and freedoms of data subjects (see Table 1). The increasing impact of …

  European commission, European, Commission, Data, Protection, Mining, Data protection

Financial Reporting in the Global Mining Industry

www.iasplus.com

financial statements and supplementary data of twenty-one of the world’s leading mining companies. These companies listed on page thirty, ... in the case of mining enterprises and that, longer term, a joint industry group should develop a common set of reserve definitions. The committee did not develop a tentative view

  Data, Mining

Blasting Safety – Revisiting Site Security

www.cdc.gov

One thousand one hundred and thirty-one blasting-related injuries were reported by the mining industry during the period 1978-2003 [Verakis & Lobb, 2003 with updated data]. Blast area security accounted for 50.1% of these injuries followed by premature blast (11.4%), flyrock (10.8%), misfires (9.9%), and fumes (8.5%).

  Data, Mining

Data Mining: Concepts and Techniques - VSSUT

www.vssut.ac.in

The goal of data mining is to unearth relationships in data that may provide useful insights. Data mining tools can sweep through databases and identify previously hidden patterns in one step. An example of pattern discovery is the analysis of retail sales data to identify seemingly unrelated products that are often purchased together.

  Data, Mining, Data mining

Data Mining Classification: Basic Concepts and Techniques

www-users.cse.umn.edu

Data Mining Classification: Basic Concepts and Techniques Lecture Notes for Chapter 3 Introduction to Data Mining, 2nd Edition by Tan, Steinbach, Karpatne, Kumar 2/1/2021 Introduction to Data Mining, 2nd Edition 1 Classification: Definition l Given a collection of records (training set ) – Each record is by characterized by a tuple

  Data, Mining, Data mining

Data Mining Concepts and Techniques (3rd ed.)

doc.lagout.org

Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations, 3rd Edition Ian Witten, Eibe Frank, Mark A. Hall Joe Celko's Data and Databases: Concepts in Practice Joe Celko Developing Time-Oriented Database Applications in …

  Data, Mining, Data mining

Data Mining with Python (Working draft)

www2.imm.dtu.dk

Researchers have noted a number of reasons for using Python in the data science area (data mining, scienti c computing) [4,5,6]: 1.Programmers regard Python as a clear and simple language with a high readability.

  Python, Data, Mining, Data mining

Related search queries

Chapter 19. Data Warehousing and Data Mining, Data mining, Data, Mining, Data protection, European Commission, Python