Recent advances in hybrid metaheuristics for dataclustering / (Record no. 69270)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 05661cam a22006618i 4500 |
| 001 - CONTROL NUMBER | |
| control field | on1152457624 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220711203602.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 200228s2020 nju ob 001 0 eng |
| 019 ## - | |
| -- | 1157076982 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119551607 |
| -- | (epub) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1119551609 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119551614 |
| -- | (adobe pdf) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1119551617 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | (cloth) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119551621 |
| -- | (electronic bk. : oBook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1119551625 |
| -- | (electronic bk. : oBook) |
| 082 00 - CLASSIFICATION NUMBER | |
| Call Number | 519.5/3 |
| 245 00 - TITLE STATEMENT | |
| Title | Recent advances in hybrid metaheuristics for dataclustering / |
| 250 ## - EDITION STATEMENT | |
| Edition statement | First edition. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 online resource |
| 490 1# - SERIES STATEMENT | |
| Series statement | The Wiley Series in Intelligent Signal and Data Processing |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "The book will elaborate on the fundamentals of different meta-heuristics and their application to data clustering. As a result, it will pave the way for designing and developing hybrid meta-heuristics to be applied to data clustering"-- |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Cover -- Title Page -- Copyright -- Contents -- List of Contributors -- Series Preface -- Preface -- Chapter 1 Metaheuristic Algorithms in Fuzzy Clustering -- 1.1 Introduction -- 1.2 Fuzzy Clustering -- 1.2.1 Fuzzy c-means (FCM) clustering -- 1.3 Algorithm -- 1.3.1 Selection of Cluster Centers -- 1.4 Genetic Algorithm -- 1.5 Particle Swarm Optimization -- 1.6 Ant Colony Optimization -- 1.7 Artificial Bee Colony Algorithm -- 1.8 Local Search-Based Metaheuristic Clustering Algorithms -- 1.9 Population-Based Metaheuristic Clustering Algorithms -- 1.9.1 GA-Based Fuzzy Clustering |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 1.9.2 PSO-Based Fuzzy Clustering -- 1.9.3 Ant Colony Optimization-Based Fuzzy Clustering -- 1.9.4 Artificial Bee Colony Optimization-Based Fuzzy Clustering -- 1.9.5 Differential Evolution-Based Fuzzy Clustering -- 1.9.6 Firefly Algorithm-Based Fuzzy Clustering -- 1.10 Conclusion -- References -- Chapter 2 Hybrid Harmony Search Algorithm to Solve the Feature Selection for Data Mining Applications -- 2.1 Introduction -- 2.2 Research Framework -- 2.3 Text Preprocessing -- 2.3.1 Tokenization -- 2.3.2 Stop Words Removal -- 2.3.3 Stemming -- 2.3.4 Text Document Representation |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 2.3.5 Term Weight (TF-IDF) -- 2.4 Text Feature Selection -- 2.4.1 Mathematical Model of the Feature Selection Problem -- 2.4.2 Solution Representation -- 2.4.3 Fitness Function -- 2.5 Harmony Search Algorithm -- 2.5.1 Parameters Initialization -- 2.5.2 Harmony Memory Initialization -- 2.5.3 Generating a New Solution -- 2.5.4 Update Harmony Memory -- 2.5.5 Check the Stopping Criterion -- 2.6 Text Clustering -- 2.6.1 Mathematical Model of the Text Clustering -- 2.6.2 Find Clusters Centroid -- 2.6.3 Similarity Measure -- 2.7 k-means text clustering algorithm -- 2.8 Experimental Results |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 2.8.1 Evaluation Measures -- 2.8.1.1 F-measure Based on Clustering Evaluation -- 2.8.1.2 Accuracy Based on Clustering Evaluation -- 2.8.2 Results and Discussions -- 2.9 Conclusion -- References -- Chapter 3 Adaptive Position-Based Crossover in the Genetic Algorithm for Data Clustering -- 3.1 Introduction -- 3.2 Preliminaries -- 3.2.1 Clustering -- 3.2.1.1 k-means Clustering -- 3.2.2 Genetic Algorithm -- 3.3 Related Works -- 3.3.1 GA-Based Data Clustering by Binary Encoding -- 3.3.2 GA-Based Data Clustering by Real Encoding -- 3.3.3 GA-Based Data Clustering for Imbalanced Datasets |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 3.4 Proposed Model -- 3.5 Experimentation -- 3.5.1 Experimental Settings -- 3.5.2 DB Index -- 3.5.3 Experimental Results -- 3.6 Conclusion -- References -- Chapter 4 Application of Machine Learning in the Social Network -- 4.1 Introduction -- 4.1.1 Social Media -- 4.1.2 Big Data -- 4.1.3 Machine Learning -- 4.1.4 Natural Language Processing (NLP) -- 4.1.5 Social Network Analysis -- 4.2 Application of Classification Models in Social Networks -- 4.2.1 Spam Content Detection -- 4.2.2 Topic Modeling and Labeling -- 4.2.3 Human Behavior Analysis -- 4.2.4 Sentiment Analysis |
| 590 ## - LOCAL NOTE (RLIN) | |
| Local note | John Wiley and Sons |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Data processing. |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Data processing. |
| 700 1# - AUTHOR 2 | |
| Author 2 | De, Sourav, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Dey, Sandip, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Bhattacharyya, Siddhartha, |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1002/9781119551621 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Hoboken, NJ : |
| -- | John Wiley & Sons, Inc., |
| -- | [2020] |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | n |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | nc |
| -- | rdacarrier |
| 520 ## - SUMMARY, ETC. | |
| -- | Provided by publisher. |
| 588 ## - | |
| -- | Description based on print version record and CIP data provided by publisher; resource not viewed. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Cluster analysis |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Metaheuristics. |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Cluster analysis |
| -- | (OCoLC)fst00864978 |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Metaheuristics. |
| -- | (OCoLC)fst02000551 |
| 994 ## - | |
| -- | 92 |
| -- | DG1 |
No items available.