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Biologically-inspired techniques for...
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Alam, Shafiq, (1980-)
Biologically-inspired techniques for knowledge discovery and data mining /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Biologically-inspired techniques for knowledge discovery and data mining /Shafiq Alam, Gillian Dobbie, Yun Sing Koh, and Saeed ur Rehman, editors.
其他作者:
Alam, Shafiq,
出版者:
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pa., 17033, USA) :IGI Global,[2014]
面頁冊數:
1 online resource (375 pages) :ill.
標題:
Data mining.
電子資源:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-6078-6
ISBN:
9781466660793 (ebook)
Biologically-inspired techniques for knowledge discovery and data mining /
Biologically-inspired techniques for knowledge discovery and data mining /
Shafiq Alam, Gillian Dobbie, Yun Sing Koh, and Saeed ur Rehman, editors. - Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pa., 17033, USA) :IGI Global,[2014] - 1 online resource (375 pages) :ill.
Includes bibliographical references.
Biologically inspired techniques for data mining: a brief overview of particle swarm optimization for KDD / Shafiq Alam, Gillian Dobbie, Yun Sing Koh, Saeed ur Rehman -- Probabilistic control and swarm dynamics in mobile robots and ants / Eugene Kagan, Alexander Rybalov, Alon Sela, Hava Siegelmann, Jennie Steshenko -- A measure optimized cost-sensitive learning framework for imbalanced data classification / Peng Cao, Osmar Zaiane, Dazhe Zhao -- Towards an improved ensemble learning model of artificial neural networks: lessons learned on using randomized numbers of hidden neurons / Fatai Anifowose, Jane Labadin, Abdulazeez Abdulraheem -- Ant programming algorithms for classification / Juan Luis Olmo, Jose Raul Romero, Sebastian Ventura -- Machine fault diagnosis and prognosis using self-organizing map / Kesheng Wang, Zhenyou Zhang, Yi Wang -- An enhanced artificial bee colony optimizer for predictive analysis of heating oil prices using least squares support vector machines / Zuriani Mustaffa, Yuhanis Yusof, Siti Sakira Kamaruddin -- Comparison of linguistic summaries and fuzzy functional dependencies related to data mining / Miroslav Hudec, Miljan Vucetic, Mirko Vujosevic -- Application of artificial neural network and genetic programming in civil engineering / Pijush Samui, Dhruvan Choubisa, Akash Sharda -- A promising direction towards automatic construction of relevance measures / Lucianne Varn, Kourosh Neshatian -- Adaptive scheduling for real-time distributed systems / Apurva Shah -- Discovery of emergent sorting behavior using swarm intelligence and grid-enabled genetic algorithms / Dimitris Kalles, Alexis Kaporis, Vassiliki Mperoukli, Anthony Chatzinouskas -- Application of biologically inspired techniques for industrial and environmental research via air quality monitoring network / Tianxing Cai -- Online prediction of blood glucose levels using genetic algorithm / Khaled Eskaf, Tim Ritchings, Osama Bedawy -- Security of wireless devices using biological-inspired RF fingerprinting technique / Saeed ur Rehman, Shafiq Alam, Iman T. Ardekani.
Restricted to subscribers or individual electronic text purchasers.
"This book highlights contemporary findings in the area of biologically-inspired techniques in data mining domains and their implementation in real-life problems"--Provided by publisher.
Mode of access: World Wide Web.
ISBN: 9781466660793 (ebook)
LCCN: 2014007987Subjects--Topical Terms:
184440
Data mining.
LC Class. No.: QA76.9.D343 / B56 2014e
Dewey Class. No.: 006.3/82
Biologically-inspired techniques for knowledge discovery and data mining /
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Includes bibliographical references.
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Biologically inspired techniques for data mining: a brief overview of particle swarm optimization for KDD / Shafiq Alam, Gillian Dobbie, Yun Sing Koh, Saeed ur Rehman -- Probabilistic control and swarm dynamics in mobile robots and ants / Eugene Kagan, Alexander Rybalov, Alon Sela, Hava Siegelmann, Jennie Steshenko -- A measure optimized cost-sensitive learning framework for imbalanced data classification / Peng Cao, Osmar Zaiane, Dazhe Zhao -- Towards an improved ensemble learning model of artificial neural networks: lessons learned on using randomized numbers of hidden neurons / Fatai Anifowose, Jane Labadin, Abdulazeez Abdulraheem -- Ant programming algorithms for classification / Juan Luis Olmo, Jose Raul Romero, Sebastian Ventura -- Machine fault diagnosis and prognosis using self-organizing map / Kesheng Wang, Zhenyou Zhang, Yi Wang -- An enhanced artificial bee colony optimizer for predictive analysis of heating oil prices using least squares support vector machines / Zuriani Mustaffa, Yuhanis Yusof, Siti Sakira Kamaruddin -- Comparison of linguistic summaries and fuzzy functional dependencies related to data mining / Miroslav Hudec, Miljan Vucetic, Mirko Vujosevic -- Application of artificial neural network and genetic programming in civil engineering / Pijush Samui, Dhruvan Choubisa, Akash Sharda -- A promising direction towards automatic construction of relevance measures / Lucianne Varn, Kourosh Neshatian -- Adaptive scheduling for real-time distributed systems / Apurva Shah -- Discovery of emergent sorting behavior using swarm intelligence and grid-enabled genetic algorithms / Dimitris Kalles, Alexis Kaporis, Vassiliki Mperoukli, Anthony Chatzinouskas -- Application of biologically inspired techniques for industrial and environmental research via air quality monitoring network / Tianxing Cai -- Online prediction of blood glucose levels using genetic algorithm / Khaled Eskaf, Tim Ritchings, Osama Bedawy -- Security of wireless devices using biological-inspired RF fingerprinting technique / Saeed ur Rehman, Shafiq Alam, Iman T. Ardekani.
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"This book highlights contemporary findings in the area of biologically-inspired techniques in data mining domains and their implementation in real-life problems"--Provided by publisher.
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-6078-6
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