Data mining : concepts and techniques (Record no. 3066)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04522nam a2200169Ia 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20191026020004.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 140801s2012 xx 000 0 und d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789380931913 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Han, Jiawei |
| 245 ## - TITLE STATEMENT | |
| Title | Data mining : concepts and techniques |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc | Elesvier |
| Date of publication, distribution, etc | 2012 |
| 500 ## - GENERAL NOTE | |
| General note | 1. Introduction<br/>Publisher Summary<br/>1.1 Why Data Mining?<br/>1.2 What Is Data Mining?<br/>1.3 What Kinds of Data Can Be Mined?<br/>1.4 What Kinds of Patterns Can Be Mined?<br/>1.5 Which Technologies Are Used?<br/>1.6 Which Kinds of Applications Are Targeted?<br/>1.7 Major Issues in Data Mining<br/>1.8 Summary<br/>1.9 Exercises<br/>1.10 Bibliographic Notes<br/>2. Getting to Know Your Data<br/>Publisher Summary<br/>2.1 Data Objects and Attribute Types<br/>2.2 Basic Statistical Descriptions of Data<br/>2.3 Data Visualization<br/>2.4 Measuring Data Similarity and Dissimilarity<br/>2.5 Summary<br/>2.6 Exercises<br/>2.7 Bibliographic Notes<br/>3. Data Preprocessing<br/>Publisher Summary<br/>3.1 Data Preprocessing: An Overview<br/>3.2 Data Cleaning<br/>3.3 Data Integration<br/>3.4 Data Reduction<br/>3.5 Data Transformation and Data Discretization<br/>3.6 Summary<br/>3.7 Exercises<br/>3.8 Bibliographic Notes<br/>4. Data Warehousing and Online Analytical Processing<br/>Publisher Summary<br/>4.1 Data Warehouse: Basic Concepts<br/>4.2 Data Warehouse Modeling: Data Cube and OLAP<br/>4.3 Data Warehouse Design and Usage<br/>4.4 Data Warehouse Implementation<br/>4.5 Data Generalization by Attribute-Oriented Induction<br/>4.6 Summary<br/>4.7 Exercises<br/>Bibliographic Notes<br/>5. Data Cube Technology<br/>Publisher Summary<br/>5.1 Data Cube Computation: Preliminary Concepts<br/>5.2 Data Cube Computation Methods<br/>5.3 Processing Advanced Kinds of Queries by Exploring Cube Technology<br/>5.4 Multidimensional Data Analysis in Cube Space<br/>5.5 Summary<br/>5.6 Exercises<br/>5.7 Bibliographic Notes<br/>6. Mining Frequent Patterns, Associations, and Correlations: Basic Concepts and Methods<br/>Publisher Summary<br/>6.1 Basic Concepts<br/>6.2 Frequent Itemset Mining Methods<br/>6.3 Which Patterns Are Interesting?—Pattern Evaluation Methods<br/>6.4 Summary<br/>6.5 Exercises<br/>6.6 Bibliographic Notes<br/>7. Advanced Pattern Mining<br/>Publisher Summary<br/>7.1 Pattern Mining: A Road Map<br/>7.2 Pattern Mining in Multilevel, Multidimensional Space<br/>7.3 Constraint-Based Frequent Pattern Mining<br/>7.4 Mining High-Dimensional Data and Colossal Patterns<br/>7.5 Mining Compressed or Approximate Patterns<br/>7.6 Pattern Exploration and Application<br/>7.7 Summary<br/>7.8 Exercises<br/>7.9 Bibliographic Notes<br/>8. Classification: Basic Concepts<br/>Publisher Summary<br/>8.1 Basic Concepts<br/>8.2 Decision Tree Induction<br/>8.3 Bayes Classification Methods<br/>8.4 Rule-Based Classification<br/>8.5 Model Evaluation and Selection<br/>8.6 Techniques to Improve Classification Accuracy<br/>8.7 Summary<br/>8.8 Exercises<br/>8.9 Bibliographic Notes<br/>9. Classification: Advanced Methods<br/>Publisher Summary<br/>9.1 Bayesian Belief Networks<br/>9.2 Classification by Backpropagation<br/>9.3 Support Vector Machines<br/>9.4 Classification Using Frequent Patterns<br/>9.5 Lazy Learners (or Learning from Your Neighbors)<br/>9.6 Other Classification Methods<br/>9.7 Additional Topics Regarding Classification<br/>Summary<br/>9.9 Exercises<br/>9.10 Bibliographic Notes<br/>10. Cluster Analysis: Basic Concepts and Methods<br/>Publisher Summary<br/>10.1 Cluster Analysis<br/>10.2 Partitioning Methods<br/>10.3 Hierarchical Methods<br/>10.4 Density-Based Methods<br/>10.5 Grid-Based Methods<br/>10.6 Evaluation of Clustering<br/>10.7 Summary<br/>10.8 Exercises<br/>10.9 Bibliographic Notes<br/>11. Advanced Cluster Analysis<br/>Publisher Summary<br/>11.1 Probabilistic Model-Based Clustering<br/>11.2 Clustering High-Dimensional Data<br/>11.3 Clustering Graph and Network Data<br/>11.4 Clustering with Constraints<br/>Summary<br/>11.6 Exercises<br/>11.7 Bibliographic Notes<br/>12. Outlier Detection<br/>Publisher Summary<br/>12.1 Outliers and Outlier Analysis<br/>12.2 Outlier Detection Methods<br/>12.3 Statistical Approaches<br/>12.4 Proximity-Based Approaches<br/>12.5 Clustering-Based Approaches<br/>12.6 Classification-Based Approaches<br/>12.7 Mining Contextual and Collective Outliers<br/>12.8 Outlier Detection in High-Dimensional Data<br/>12.9 Summary<br/>12.10 Exercises<br/>12.11 Bibliographic Notes<br/>13. Data Mining Trends and Research Frontiers<br/>Publisher Summary<br/>13.1 Mining Complex Data Types<br/>13.2 Other Methodologies of Data Mining<br/>13.3 Data Mining Applications<br/>13.4 Data Mining and Society<br/>13.5 Data Mining Trends<br/>13.6 Summary<br/>13.7 Exercises<br/>13.8 Bibliographic Notes |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Jiawei Han |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://books.google.co.in/books?id=pQws07tdpjoC&printsec=frontcover&dq=data+mining+concepts+and+techniques&hl=en&sa=X&ved=0ahUKEwin2L6D67XgAhWDpo8KHSjuCn4Q6AEIKDAA#v=onepage&q=data%20mining%20concepts%20and%20techniques&f=false">https://books.google.co.in/books?id=pQws07tdpjoC&printsec=frontcover&dq=data+mining+concepts+and+techniques&hl=en&sa=X&ved=0ahUKEwin2L6D67XgAhWDpo8KHSjuCn4Q6AEIKDAA#v=onepage&q=data%20mining%20concepts%20and%20techniques&f=false</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Books |
| Koha issues (borrowed), all copies | 28 |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Date last seen | Date checked out | Uniform Resource Identifier | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Amity Central Library | Amity Central Library | ASET CSE | 11/05/2012 | 450.00 | 12 | 006.312 HAN-D | 16203 | 14/09/2023 | 23/08/2023 | https://epgp.inflibnet.ac.in/view_f.php?category=1063 | 11/05/2012 | Books | ||||
| Dewey Decimal Classification | Amity Central Library | Amity Central Library | ASET CSE | 11/05/2012 | 450.00 | 6 | 006.312 HAN-D | 16206 | 03/12/2019 | 22/07/2019 | https://epgp.inflibnet.ac.in/view_f.php?category=1063 | 11/05/2012 | Books | ||||
| Dewey Decimal Classification | Amity Central Library | Amity Central Library | ASET CSE | 11/05/2012 | 450.00 | 7 | 006.312 HAN-D | 16207 | 12/10/2023 | 09/10/2023 | https://epgp.inflibnet.ac.in/view_f.php?category=1063 | 11/05/2012 | Books | ||||
| Dewey Decimal Classification | Amity Central Library | Amity Central Library | ASET CSE | 11/05/2012 | 450.00 | 5 | 006.312 HAN-D | 16208 | 25/07/2022 | 15/11/2021 | https://epgp.inflibnet.ac.in/view_f.php?category=1063 | 11/05/2012 | Books | ||||
| Dewey Decimal Classification | Amity Central Library | Amity Central Library | ASET CSE | 11/05/2012 | 450.00 | 13 | 006.312 HAN-D | 16209 | 28/08/2024 | 13/08/2024 | https://epgp.inflibnet.ac.in/view_f.php?category=1063 | 11/05/2012 | Books |