Knowledge mining using intelligent agents /:
Knowledge Mining Using Intelligent Agents explores the concept of knowledge discovery processes and enhances decision-making capability through the use of intelligent agents like ants, termites and honey bees. In order to provide readers with an integrated set of concepts and techniques for understa...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London :
Imperial College Pr.,
2011.
|
| Schriftenreihe: | Advances in computer science and engineering. Texts ;
v. 6. |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Knowledge Mining Using Intelligent Agents explores the concept of knowledge discovery processes and enhances decision-making capability through the use of intelligent agents like ants, termites and honey bees. In order to provide readers with an integrated set of concepts and techniques for understanding knowledge discovery and its practical utility, this book blends two distinct disciplines - data mining and knowledge discovery process, and intelligent agents-based computing (swarm intelligence and computational intelligence). For the more advanced reader, researchers, and decision/policy-makers are given an insight into emerging technologies and their possible hybridization, which can be used for activities like dredging, capturing, distributions and the utilization of knowledge in their domain of interest (i.e. business, policy-making, etc.). By studying the behavior of swarm intelligence, this book aims to integrate the computational intelligence paradigm and intelligent distributed agents architecture to optimize various engineering problems and efficiently represent knowledge from the large gamut of data. |
| Beschreibung: | 1 online resource (x, 313 pages) : illustrations |
| Bibliographie: | Includes bibliographical references. |
| ISBN: | 9781848163874 1848163878 128314333X 9781283143332 9786613143334 6613143332 |
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| 504 | |a Includes bibliographical references. | ||
| 505 | 0 | |a 1. Theoretical foundations of knowledge mining and intelligent agent / S. Dehuri and S.-B. Cho -- 2. The use of evolutionary computation in knowledge discovery : The example of intrusion detection systems / S.X. Wu and W. Banzhaf -- 3. Evolution of neural network and polynomial network / B.B. Misra, P.K. Dash and G. Panda -- 4. Design of alloy steels using multi-objective optimization / M. Chen, V. Kadirkamanathan and P.J. Fleming -- 5. An extended Bayesian/HAPSO intelligent method in intrusion detection system / S. Dehuri and S. Tripathy -- 6. Mining knowledge from network intrusion data using data mining techniques / M. Panda and M.R. Patra -- 7. Particle swarm optimization for multi-objective optimal operational planning of energy plants / Y. Fukuyama, H. Nishida and Y. Todaka -- 8. Soft computing for feature selection / A.K. Jagadev, S. Devi and R. Mall -- 9. Optimized polynomial fuzzy swarm net for classification / B.B. Misra, P.K. Dash and G. Panda -- 10. Software testing using genetic algorithms / M. Ray and D.P. Mohapatra. | |
| 520 | |a Knowledge Mining Using Intelligent Agents explores the concept of knowledge discovery processes and enhances decision-making capability through the use of intelligent agents like ants, termites and honey bees. In order to provide readers with an integrated set of concepts and techniques for understanding knowledge discovery and its practical utility, this book blends two distinct disciplines - data mining and knowledge discovery process, and intelligent agents-based computing (swarm intelligence and computational intelligence). For the more advanced reader, researchers, and decision/policy-makers are given an insight into emerging technologies and their possible hybridization, which can be used for activities like dredging, capturing, distributions and the utilization of knowledge in their domain of interest (i.e. business, policy-making, etc.). By studying the behavior of swarm intelligence, this book aims to integrate the computational intelligence paradigm and intelligent distributed agents architecture to optimize various engineering problems and efficiently represent knowledge from the large gamut of data. | ||
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| 650 | 0 | |a Intelligent agents (Computer software) |0 http://id.loc.gov/authorities/subjects/sh97000493 | |
| 650 | 0 | |a Computational intelligence. |0 http://id.loc.gov/authorities/subjects/sh94004659 | |
| 650 | 0 | |a Swarm intelligence. |0 http://id.loc.gov/authorities/subjects/sh2001001702 | |
| 650 | 6 | |a Exploration de données (Informatique) | |
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| 700 | 1 | |a Cho, Sung-Bae. | |
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| contents | 1. Theoretical foundations of knowledge mining and intelligent agent / S. Dehuri and S.-B. Cho -- 2. The use of evolutionary computation in knowledge discovery : The example of intrusion detection systems / S.X. Wu and W. Banzhaf -- 3. Evolution of neural network and polynomial network / B.B. Misra, P.K. Dash and G. Panda -- 4. Design of alloy steels using multi-objective optimization / M. Chen, V. Kadirkamanathan and P.J. Fleming -- 5. An extended Bayesian/HAPSO intelligent method in intrusion detection system / S. Dehuri and S. Tripathy -- 6. Mining knowledge from network intrusion data using data mining techniques / M. Panda and M.R. Patra -- 7. Particle swarm optimization for multi-objective optimal operational planning of energy plants / Y. Fukuyama, H. Nishida and Y. Todaka -- 8. Soft computing for feature selection / A.K. Jagadev, S. Devi and R. Mall -- 9. Optimized polynomial fuzzy swarm net for classification / B.B. Misra, P.K. Dash and G. Panda -- 10. Software testing using genetic algorithms / M. Ray and D.P. Mohapatra. |
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| id | ZDB-4-EBA-ocn738434230 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:17:53Z |
| institution | BVB |
| isbn | 9781848163874 1848163878 128314333X 9781283143332 9786613143334 6613143332 |
| language | English |
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| series | Advances in computer science and engineering. Texts ; |
| series2 | Advances in computer science and engineering : texts ; |
| spelling | Knowledge mining using intelligent agents / editors, Satchidananda Dehuri, Sung-Bae Cho. London : Imperial College Pr., 2011. 1 online resource (x, 313 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Advances in computer science and engineering : texts ; v. 6 Includes bibliographical references. 1. Theoretical foundations of knowledge mining and intelligent agent / S. Dehuri and S.-B. Cho -- 2. The use of evolutionary computation in knowledge discovery : The example of intrusion detection systems / S.X. Wu and W. Banzhaf -- 3. Evolution of neural network and polynomial network / B.B. Misra, P.K. Dash and G. Panda -- 4. Design of alloy steels using multi-objective optimization / M. Chen, V. Kadirkamanathan and P.J. Fleming -- 5. An extended Bayesian/HAPSO intelligent method in intrusion detection system / S. Dehuri and S. Tripathy -- 6. Mining knowledge from network intrusion data using data mining techniques / M. Panda and M.R. Patra -- 7. Particle swarm optimization for multi-objective optimal operational planning of energy plants / Y. Fukuyama, H. Nishida and Y. Todaka -- 8. Soft computing for feature selection / A.K. Jagadev, S. Devi and R. Mall -- 9. Optimized polynomial fuzzy swarm net for classification / B.B. Misra, P.K. Dash and G. Panda -- 10. Software testing using genetic algorithms / M. Ray and D.P. Mohapatra. Knowledge Mining Using Intelligent Agents explores the concept of knowledge discovery processes and enhances decision-making capability through the use of intelligent agents like ants, termites and honey bees. In order to provide readers with an integrated set of concepts and techniques for understanding knowledge discovery and its practical utility, this book blends two distinct disciplines - data mining and knowledge discovery process, and intelligent agents-based computing (swarm intelligence and computational intelligence). For the more advanced reader, researchers, and decision/policy-makers are given an insight into emerging technologies and their possible hybridization, which can be used for activities like dredging, capturing, distributions and the utilization of knowledge in their domain of interest (i.e. business, policy-making, etc.). By studying the behavior of swarm intelligence, this book aims to integrate the computational intelligence paradigm and intelligent distributed agents architecture to optimize various engineering problems and efficiently represent knowledge from the large gamut of data. Print version record. English. Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Intelligent agents (Computer software) http://id.loc.gov/authorities/subjects/sh97000493 Computational intelligence. http://id.loc.gov/authorities/subjects/sh94004659 Swarm intelligence. http://id.loc.gov/authorities/subjects/sh2001001702 Exploration de données (Informatique) Agents intelligents (Logiciels) Intelligence informatique. COMPUTERS Database Management Data Mining. bisacsh Computational intelligence fast Data mining fast Intelligent agents (Computer software) fast Swarm intelligence fast Dehuri, Satchidananda. Cho, Sung-Bae. Print version: Knowledge mining using intelligent agents. London : Imperial College Pr., 2011 9781848163867 (OCoLC)707911289 Advances in computer science and engineering. Texts ; v. 6. http://id.loc.gov/authorities/names/no2007041420 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=374806 Volltext |
| spellingShingle | Knowledge mining using intelligent agents / Advances in computer science and engineering. Texts ; 1. Theoretical foundations of knowledge mining and intelligent agent / S. Dehuri and S.-B. Cho -- 2. The use of evolutionary computation in knowledge discovery : The example of intrusion detection systems / S.X. Wu and W. Banzhaf -- 3. Evolution of neural network and polynomial network / B.B. Misra, P.K. Dash and G. Panda -- 4. Design of alloy steels using multi-objective optimization / M. Chen, V. Kadirkamanathan and P.J. Fleming -- 5. An extended Bayesian/HAPSO intelligent method in intrusion detection system / S. Dehuri and S. Tripathy -- 6. Mining knowledge from network intrusion data using data mining techniques / M. Panda and M.R. Patra -- 7. Particle swarm optimization for multi-objective optimal operational planning of energy plants / Y. Fukuyama, H. Nishida and Y. Todaka -- 8. Soft computing for feature selection / A.K. Jagadev, S. Devi and R. Mall -- 9. Optimized polynomial fuzzy swarm net for classification / B.B. Misra, P.K. Dash and G. Panda -- 10. Software testing using genetic algorithms / M. Ray and D.P. Mohapatra. Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Intelligent agents (Computer software) http://id.loc.gov/authorities/subjects/sh97000493 Computational intelligence. http://id.loc.gov/authorities/subjects/sh94004659 Swarm intelligence. http://id.loc.gov/authorities/subjects/sh2001001702 Exploration de données (Informatique) Agents intelligents (Logiciels) Intelligence informatique. COMPUTERS Database Management Data Mining. bisacsh Computational intelligence fast Data mining fast Intelligent agents (Computer software) fast Swarm intelligence fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh97002073 http://id.loc.gov/authorities/subjects/sh97000493 http://id.loc.gov/authorities/subjects/sh94004659 http://id.loc.gov/authorities/subjects/sh2001001702 |
| title | Knowledge mining using intelligent agents / |
| title_auth | Knowledge mining using intelligent agents / |
| title_exact_search | Knowledge mining using intelligent agents / |
| title_full | Knowledge mining using intelligent agents / editors, Satchidananda Dehuri, Sung-Bae Cho. |
| title_fullStr | Knowledge mining using intelligent agents / editors, Satchidananda Dehuri, Sung-Bae Cho. |
| title_full_unstemmed | Knowledge mining using intelligent agents / editors, Satchidananda Dehuri, Sung-Bae Cho. |
| title_short | Knowledge mining using intelligent agents / |
| title_sort | knowledge mining using intelligent agents |
| topic | Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Intelligent agents (Computer software) http://id.loc.gov/authorities/subjects/sh97000493 Computational intelligence. http://id.loc.gov/authorities/subjects/sh94004659 Swarm intelligence. http://id.loc.gov/authorities/subjects/sh2001001702 Exploration de données (Informatique) Agents intelligents (Logiciels) Intelligence informatique. COMPUTERS Database Management Data Mining. bisacsh Computational intelligence fast Data mining fast Intelligent agents (Computer software) fast Swarm intelligence fast |
| topic_facet | Data mining. Intelligent agents (Computer software) Computational intelligence. Swarm intelligence. Exploration de données (Informatique) Agents intelligents (Logiciels) Intelligence informatique. COMPUTERS Database Management Data Mining. Computational intelligence Data mining Swarm intelligence |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=374806 |
| work_keys_str_mv | AT dehurisatchidananda knowledgeminingusingintelligentagents AT chosungbae knowledgeminingusingintelligentagents |