Pattern discovery using sequence data mining: applications and studies
"This book provides a comprehensive view of sequence mining techniques, and present current research and case studies in Pattern Discovery in Sequential data authored by researchers and practitioners" - Provided by publisher
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| Other Authors: | , , |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hershey PA
Information Science Reference
[2012]
|
| Series: | Premier reference source
|
| Subjects: | |
| Online Access: | DE-706 DE-1049 DE-898 DE-1050 DE-83 Volltext |
| Summary: | "This book provides a comprehensive view of sequence mining techniques, and present current research and case studies in Pattern Discovery in Sequential data authored by researchers and practitioners" - Provided by publisher |
| Item Description: | Includes bibliographical references |
| Physical Description: | 1 Online-Ressource (x, 273 Seiten) |
| ISBN: | 9781613500576 9781613500583 |
Staff View
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| 505 | 8 | |a 1. Applications of pattern discovery using sequential data mining / Manish Gupta and Jiawei Han -- 2. A review of kernel methods based approaches to classification and clustering of sequential patterns, Part I: Sequences of continuous feature vectors / Dileep A. D. Veena T. and C. Chandra Sekhar -- 3. A review of kernel methods based approaches to classification and clustering of sequential patterns, Part II: Sequences of discrete symbols / Dileep A. D. Veena T. and C. Chandra Sekhar -- 4. Mining statistically significant substrings based on the chi-square measure / Sourav Dutta and Arnab Bhattacharya -- 5. Unbalanced sequential data classification using extreme outlier elimination and sampling techniques / T.Maruthi Padmaja, Raju S. Bapi and P. Radha Krishna -- 6. Quantization based sequence generation and subsequence pruning for data mining applications / T. Ravindra Babu, M. Narasimha Murty and S. V. Subrahmanya -- 7. Classification of biological sequences / Pratibha Rani and Vikram Pudi -- 8. Approaches for pattern discovery using sequential data mining / Manish Gupta and Jiawei Han -- 9. Analysis of kinase inhibitors and druggability of kinase-targets using machine learning techniques / S. Prasanthi ... [et al.] -- 10. Identification of genomic islands by pattern discovery / Nita Parekh -- 11. Video stream mining for on-road traffic density analytics / Rudra Narayan Hota, Kishore Jonna and P. Radha Krishna -- 12. Discovering patterns in order to detect weak signals and define new strategies / Anass El Haddadi, Bernard Dousset and Ilham Berrada -- 13. Discovering patterns for architecture simulation by using sequence mining / Pinar Senkul ... [et al.] -- 14. Sequence pattern mining for Web logs / Pradeep Kumar, Raju S. Bapi and P. Radha Krishna | |
| 520 | |a "This book provides a comprehensive view of sequence mining techniques, and present current research and case studies in Pattern Discovery in Sequential data authored by researchers and practitioners" - Provided by publisher | ||
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| author2 | Kumar, Pradeep Radha Krishna, P. Raju, S. Bapi |
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| contents | 1. Applications of pattern discovery using sequential data mining / Manish Gupta and Jiawei Han -- 2. A review of kernel methods based approaches to classification and clustering of sequential patterns, Part I: Sequences of continuous feature vectors / Dileep A. D. Veena T. and C. Chandra Sekhar -- 3. A review of kernel methods based approaches to classification and clustering of sequential patterns, Part II: Sequences of discrete symbols / Dileep A. D. Veena T. and C. Chandra Sekhar -- 4. Mining statistically significant substrings based on the chi-square measure / Sourav Dutta and Arnab Bhattacharya -- 5. Unbalanced sequential data classification using extreme outlier elimination and sampling techniques / T.Maruthi Padmaja, Raju S. Bapi and P. Radha Krishna -- 6. Quantization based sequence generation and subsequence pruning for data mining applications / T. Ravindra Babu, M. Narasimha Murty and S. V. Subrahmanya -- 7. Classification of biological sequences / Pratibha Rani and Vikram Pudi -- 8. Approaches for pattern discovery using sequential data mining / Manish Gupta and Jiawei Han -- 9. Analysis of kinase inhibitors and druggability of kinase-targets using machine learning techniques / S. Prasanthi ... [et al.] -- 10. Identification of genomic islands by pattern discovery / Nita Parekh -- 11. Video stream mining for on-road traffic density analytics / Rudra Narayan Hota, Kishore Jonna and P. Radha Krishna -- 12. Discovering patterns in order to detect weak signals and define new strategies / Anass El Haddadi, Bernard Dousset and Ilham Berrada -- 13. Discovering patterns for architecture simulation by using sequence mining / Pinar Senkul ... [et al.] -- 14. Sequence pattern mining for Web logs / Pradeep Kumar, Raju S. Bapi and P. Radha Krishna |
| ctrlnum | (OCoLC)992552938 (DE-599)BVBBV044323712 |
| format | Electronic eBook |
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| id | DE-604.BV044323712 |
| illustrated | Not Illustrated |
| indexdate | 2024-08-23T01:07:36Z |
| institution | BVB |
| isbn | 9781613500576 9781613500583 |
| language | English |
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| spelling | Pattern discovery using sequence data mining applications and studies Pradeep Kumar (Indian Institute of Management Lucknow, India), P. Radha Krishna (Infosys Lab, Infosys Limited, India), S. Bapi Raju (University of Hyderabad, India) Hershey PA Information Science Reference [2012] © 2012 1 Online-Ressource (x, 273 Seiten) txt rdacontent c rdamedia cr rdacarrier Premier reference source Includes bibliographical references 1. Applications of pattern discovery using sequential data mining / Manish Gupta and Jiawei Han -- 2. A review of kernel methods based approaches to classification and clustering of sequential patterns, Part I: Sequences of continuous feature vectors / Dileep A. D. Veena T. and C. Chandra Sekhar -- 3. A review of kernel methods based approaches to classification and clustering of sequential patterns, Part II: Sequences of discrete symbols / Dileep A. D. Veena T. and C. Chandra Sekhar -- 4. Mining statistically significant substrings based on the chi-square measure / Sourav Dutta and Arnab Bhattacharya -- 5. Unbalanced sequential data classification using extreme outlier elimination and sampling techniques / T.Maruthi Padmaja, Raju S. Bapi and P. Radha Krishna -- 6. Quantization based sequence generation and subsequence pruning for data mining applications / T. Ravindra Babu, M. Narasimha Murty and S. V. Subrahmanya -- 7. Classification of biological sequences / Pratibha Rani and Vikram Pudi -- 8. Approaches for pattern discovery using sequential data mining / Manish Gupta and Jiawei Han -- 9. Analysis of kinase inhibitors and druggability of kinase-targets using machine learning techniques / S. Prasanthi ... [et al.] -- 10. Identification of genomic islands by pattern discovery / Nita Parekh -- 11. Video stream mining for on-road traffic density analytics / Rudra Narayan Hota, Kishore Jonna and P. Radha Krishna -- 12. Discovering patterns in order to detect weak signals and define new strategies / Anass El Haddadi, Bernard Dousset and Ilham Berrada -- 13. Discovering patterns for architecture simulation by using sequence mining / Pinar Senkul ... [et al.] -- 14. Sequence pattern mining for Web logs / Pradeep Kumar, Raju S. Bapi and P. Radha Krishna "This book provides a comprehensive view of sequence mining techniques, and present current research and case studies in Pattern Discovery in Sequential data authored by researchers and practitioners" - Provided by publisher Sequential pattern mining Sequential processing (Computer science) Kumar, Pradeep (DE-588)1156037484 edt Radha Krishna, P. edt Raju, S. Bapi edt Erscheint auch als Druck-Ausgabe 978-1-61350-056-9 Erscheint auch als Druck-Ausgabe 1-61350-056-4 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-61350-056-9 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Pattern discovery using sequence data mining applications and studies 1. Applications of pattern discovery using sequential data mining / Manish Gupta and Jiawei Han -- 2. A review of kernel methods based approaches to classification and clustering of sequential patterns, Part I: Sequences of continuous feature vectors / Dileep A. D. Veena T. and C. Chandra Sekhar -- 3. A review of kernel methods based approaches to classification and clustering of sequential patterns, Part II: Sequences of discrete symbols / Dileep A. D. Veena T. and C. Chandra Sekhar -- 4. Mining statistically significant substrings based on the chi-square measure / Sourav Dutta and Arnab Bhattacharya -- 5. Unbalanced sequential data classification using extreme outlier elimination and sampling techniques / T.Maruthi Padmaja, Raju S. Bapi and P. Radha Krishna -- 6. Quantization based sequence generation and subsequence pruning for data mining applications / T. Ravindra Babu, M. Narasimha Murty and S. V. Subrahmanya -- 7. Classification of biological sequences / Pratibha Rani and Vikram Pudi -- 8. Approaches for pattern discovery using sequential data mining / Manish Gupta and Jiawei Han -- 9. Analysis of kinase inhibitors and druggability of kinase-targets using machine learning techniques / S. Prasanthi ... [et al.] -- 10. Identification of genomic islands by pattern discovery / Nita Parekh -- 11. Video stream mining for on-road traffic density analytics / Rudra Narayan Hota, Kishore Jonna and P. Radha Krishna -- 12. Discovering patterns in order to detect weak signals and define new strategies / Anass El Haddadi, Bernard Dousset and Ilham Berrada -- 13. Discovering patterns for architecture simulation by using sequence mining / Pinar Senkul ... [et al.] -- 14. Sequence pattern mining for Web logs / Pradeep Kumar, Raju S. Bapi and P. Radha Krishna Sequential pattern mining Sequential processing (Computer science) |
| title | Pattern discovery using sequence data mining applications and studies |
| title_auth | Pattern discovery using sequence data mining applications and studies |
| title_exact_search | Pattern discovery using sequence data mining applications and studies |
| title_full | Pattern discovery using sequence data mining applications and studies Pradeep Kumar (Indian Institute of Management Lucknow, India), P. Radha Krishna (Infosys Lab, Infosys Limited, India), S. Bapi Raju (University of Hyderabad, India) |
| title_fullStr | Pattern discovery using sequence data mining applications and studies Pradeep Kumar (Indian Institute of Management Lucknow, India), P. Radha Krishna (Infosys Lab, Infosys Limited, India), S. Bapi Raju (University of Hyderabad, India) |
| title_full_unstemmed | Pattern discovery using sequence data mining applications and studies Pradeep Kumar (Indian Institute of Management Lucknow, India), P. Radha Krishna (Infosys Lab, Infosys Limited, India), S. Bapi Raju (University of Hyderabad, India) |
| title_short | Pattern discovery using sequence data mining |
| title_sort | pattern discovery using sequence data mining applications and studies |
| title_sub | applications and studies |
| topic | Sequential pattern mining Sequential processing (Computer science) |
| topic_facet | Sequential pattern mining Sequential processing (Computer science) |
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