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Biologically-inspired techniques for knowledge discovery and data mining

Author: Shafiq Alam
Publisher: Hershey, PA : Information Science Reference, an imprint of IGI Global, [2014] ©2014
Series: Advances in data mining and database management (ADMDM) book series.
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
Summary:
"This book highlights contemporary findings in the area of biologically-inspired techniques in data mining domains and their implementation in real-life problems"--
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Document Type: Book
All Authors / Contributors: Shafiq Alam
ISBN: 9781466660786 1466660783
OCLC Number: 870981737
Notes: "Premier reference source."
Description: xxii, 375 pages : illustrations ; 30 cm.
Contents: 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, José Raúl Romero, Sebastián 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.
Series Title: Advances in data mining and database management (ADMDM) book series.
Responsibility: Shafiq Alam, University of Auckland, New Zealand, Gillian Dobbie, University of Auckland, New Zealand, Yun Sing Koh, University of Auckland, New Zealand, Saeed ur Rehman, Unitec Institute of Technology, New Zealand [editors].

Abstract:

"This book highlights contemporary findings in the area of biologically-inspired techniques in data mining domains and their implementation in real-life problems"--

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