Data Mining and Knowledge Discovery Handbook (Record no. 75097)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 06221nam a22006255i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-0-387-25465-4 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220801140032.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 100301s2005 xxu| s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9780387254654 |
| -- | 978-0-387-25465-4 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 006.312 |
| 245 10 - TITLE STATEMENT | |
| Title | Data Mining and Knowledge Discovery Handbook |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2005. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XXXVI, 1383 p. 400 illus. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | to Knowledge Discovery in Databases -- to Knowledge Discovery in Databases -- Preprocessing Methods -- Data Cleansing -- Handling Missing Attribute Values -- Geometric Methods for Feature Extraction and Dimensional Reduction -- Dimension Reduction and Feature Selection -- Discretization Methods -- Outlier Detection -- Supervised Methods -- to Supervised Methods -- Decision Trees -- Bayesian Networks -- Data Mining within a Regression Framework -- Support Vector Machines -- Rule Induction -- Unsupervised Methods -- Visualization and Data Mining for High Dimensional Datasets -- Clustering Methods -- Association Rules -- Frequent Set Mining -- Constraint-Based Data Mining -- Link Analysis -- Soft Computing Methods -- Evolutionary Algorithms for Data Mining -- Reinforcement-Learning: An Overview from a Data Mining Perspective -- Neural Networks -- On the Use of Fuzzy Logic in Data Mining -- Granular Computing and Rough Sets -- Supporting Methods -- Statistical Methods for Data Mining -- Logics for Data Mining -- Wavelet Methods in Data Mining -- Fractal Mining -- Interesting Measures -- Quality Assessment Approaches in Data Mining -- Data Mining Model Comparison -- Data Mining Query Languages -- Advanced Methods -- Meta-Learning -- Bias vs Variance Decomposition for Regression and Classification -- Mining with Rare Cases -- Mining Data Streams -- Mining High-Dimensional Data -- Text Mining and Information Extraction -- Spatial Data Mining -- Data Mining for Imbalanced Datasets: An Overview -- Relational Data Mining -- Web Mining -- A Review of Web Document Clustering Approaches -- Causal Discovery -- Ensemble Methods for Classifiers -- Decomposition Methodology for Knowledge Discovery and Data Mining -- Information Fusion -- Parallel and Grid-Based Data Mining -- Collaborative Data Mining -- Organizational Data Mining -- Mining Time Series Data -- Modelling medical diagnostic rules based on rough sets -- Data Mining in Medicine -- The statistical analysis of contingency table designs -- Learning Information Patterns in Biological Databases -- Computer Integrated Manufacturing: A Data Mining Approach -- Data Mining for Selection of Manufacturing Processes -- Learning expert systems in numerical analysis of structures -- Data Mining of Design Products and Processes -- ANSWER: Network monitoring using object-oriented rule -- Data Mining in Telecommunications -- Knowledge Discovery for Gene Regulatory Regions Analysis -- Data Mining for Financial Applications -- Data Mining for Intrusion Detection -- Data Mining for Intrusion Detection -- Fuzzy Cluster Analysis: Methods for Classification -- Data Mining for Software Testing -- Data Mining for CRM -- Data Mining for CRM -- Learning Internal Representation by Error Propagation -- Data Mining for Target Marketing -- Software -- Weka -- Oracle Data Mining -- Building Data Mining Solutions With OLE DB for DM and XML for Analysis -- LERS—A Data Mining System -- GainSmarts Data Mining System for Marketing -- Wizsoft’s Wizwhy -- DataEngine. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This book first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook is designed for research scientists and graduate-level students in computer science and engineering. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Maimon, Oded. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Rokach, Lior. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1007/b107408 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | New York, NY : |
| -- | Springer US : |
| -- | Imprint: Springer, |
| -- | 2005. |
| 336 ## - | |
| -- | text |
| -- | txt |
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| -- | computer |
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| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
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| 347 ## - | |
| -- | text file |
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| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data mining. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Database management. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Information storage and retrieval systems. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer networks . |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Multimedia systems. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Information retrieval. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer architecture. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data Mining and Knowledge Discovery. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Database Management. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Information Storage and Retrieval. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Communication Networks. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Multimedia Information Systems. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data Storage Representation. |
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| -- | ZDB-2-SXCS |
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