Data mining / (Record no. 3521)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03103nam a2200145 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780195686289 (pb) |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | CUS |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.312 |
| Item number | PUD/D |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Pudi, Vikram |
| 245 ## - TITLE STATEMENT | |
| Title | Data mining / |
| Statement of responsibility, etc. | Vikram Pusi and P. Radha Krishna |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | New Delhi : |
| Name of publisher, distributor, etc. | Oxford University Press , |
| Date of publication, distribution, etc. | 2009. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | x, 341 p. |
| Other physical details | ill.; |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Chapter 1 Introduction<br/>1.1 Motivation 7<br/>1.2 Data Warehousing and Data Mining Technologies<br/>1.3 Data Models 6<br/>1.4 Data Warehousing and OLAP: User's Perspective<br/>1.5 Data Mining: User's Perspective 77<br/>1.6 Related Disciplines 14<br/>1.7 Other Issues 77<br/>1.8 Future Trends 20<br/>Summary 20<br/>Exercises 21<br/>Chapter 2 Frequent Pattern Mining<br/>Introduction 22<br/>2.1 Basic Problem Definition 23<br/>2.2 Mining Association Rules 25<br/>2.3 Applications 27<br/>2.4 Variations 35<br/>2.5 Interestingness 39<br/>2.6 Frequent Itemset Mining (FIM) Algorithms 43<br/>2.7 Current Status of FIM Algorithm Comparison 66<br/>2.8 Optimal FIM Algorithms 67<br/>2.9 Incremental Mining 77<br/>2.10 Conciseness of Results 78<br/>2.11 Sequential Rules 80<br/>Summary 81<br/>Exercises 83<br/>Chapter 3 Classification<br/>Introduction 86<br/>3.1 Basic Problem Definition 87<br/>3.2 Applications 89<br/>3.3 Evaluation of Classifiers 90<br/>3.4 Other Issues 94<br/>3.5 Classification Techniques 100<br/>3.6 Optimal Classification Algorithms 117<br/>3.7 Regression 121<br/>Summary 123<br/>Exercises 123<br/>Chapter 4 Clusturing<br/>Introduction 125<br/>4.1 Basic Problem Definition 126<br/>4.2 Clustering: Applications 128<br/>4.3 Measurement of Similarity 130<br/>4.4 Evaluation of Clustering Algorithms 135<br/>4.5 Classification of Clustering Algorithms 138<br/>4.6 Partitioning Methods 139<br/>4.7 Hierarchical Methods 121<br/>4.8 Density-based Methods 146<br/>4.9 Grid-based Methods 158<br/>4.10 Outlier Detection 159<br/>Summary 162<br/>Exercises 163<br/>Chapter 5 Pattern Discovery in Real-World Data<br/>Introduction 166<br/>5.1 Relational Data 166<br/>5.2 Transactional Data 170<br/>5.3 Multi-Dimensional Data 176<br/>5.4 Distributed Data 178<br/>5.5 Spatial Data 181<br/>5.6 Data Streams 183<br/>5.7 Time-Series Data 191<br/>5.8 Text and Web Data 194<br/>5.9 Multimedia Data 203<br/>Summary 205<br/>Exercises 205<br/>Chapters Data Warehousing: The Data Model<br/>Introduction 207<br/>6.1 Fundamentals 207<br/>6.2 Data Warehouse Data Characteristics 216<br/>6.3 Data Warehouse Components 219<br/>6.4 Approaches to Build Data Marts and Data Warehouse 223<br/>6.5 ETL 224<br/>6.6 Logical Data Modeling 235<br/>6.7 Schemas Design in Dimensional Modeling 244<br/>6.8 CLAP 249<br/>6.9 Storage and Chunks 258<br/>Summary 266<br/>Exercises 267<br/>Chapter 7 Data Warehousing: Query Processing<br/>Introduction 269<br/>7.1 Materialized Views 271<br/>7.2 Materialized Views Selection 275<br/>7.3 Materialized View Maintenance and Consistency 281<br/>7.4 Indexing 283<br/>7.5 General Query Evaluation 294<br/>Summary 299<br/>Exercises 300<br/>Chapter 8 Case Studies<br/>Introduction 302<br/>8.1 Study 1: Telecom Content Warehouse 3 03<br/>8.2 Study 2: OLAP for the Fast Food Industry 309<br/>8.3 Study 3: FYototype Credit DataMart for a Bank 310<br/>8.4 Study 4: Chum Modeling for a Bank 317<br/>8.5 Study 5: Intrusion Detection using kNN classification 325<br/>Summary 329<br/>Exercises 329<br/>Chapter 9 Current Trends in Pattern Discovery<br/>Introduction 330<br/>9.1 Ten Challenging Problems 331<br/>Summary 335 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | GN Books |
| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Full call number | Accession number | Date last seen | Date last checked out | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Central Library, Sikkim University | Central Library, Sikkim University | General Book Section | 23/06/2016 | 006.312 PUD/D | P31923 | 03/05/2023 | 13/04/2023 | General Books |