2006 3rd International IEEE Conference Intelligent Systems 2006
DOI: 10.1109/is.2006.348477
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Probabilistic Ant based Clustering for Distributed Databases

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Cited by 10 publications
(5 citation statements)
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“…In many cases the algorithms do not have enough detail that allows them to be reverse engineered, and contact with their authors did not resolve the issue. References used in tables (4.4, 4.5) are as follows, (1) = [Handl et al, 2003a], (2) = [Tan et al, 2011], (3) = [Boryczka, 2010], (4) = , (5) = [Martens et al, 2007], (6) = [Xiong et al, 2012], (7) = [Chaimontree et al, 2010], (8) = [Breaban and Luchian, 2011], (9) = [Monmarché et al, 1999a], (10) = [Niknam and Amiri, 2010], (11) = [Santos and Bazzan, 2009], (12) = [Chandrasekar and Srinivasan, 2007], (13) = [Cano et al, 2013], (14) = [Wan et al, 2012], (15) = [Tan et al, 2006], (16) = [Bougenière et al, 2009], (17) = [Wang et al, 2007], (18) = [Jebara, 2002], (19) = [Rami and Panchal, 2012], (20) = [Azzag et al, 2007], (21) = [Labroche et al, 2002a], (22) = [Guo et al, 2003], (23) = [Yang and Zhang, 2007], (24) = [Ingaramo et al, 2005], (25) = [Shukran et al, 2011].…”
Section: Evaluating the Mpaca Clustering Performancementioning
confidence: 99%
“…In many cases the algorithms do not have enough detail that allows them to be reverse engineered, and contact with their authors did not resolve the issue. References used in tables (4.4, 4.5) are as follows, (1) = [Handl et al, 2003a], (2) = [Tan et al, 2011], (3) = [Boryczka, 2010], (4) = , (5) = [Martens et al, 2007], (6) = [Xiong et al, 2012], (7) = [Chaimontree et al, 2010], (8) = [Breaban and Luchian, 2011], (9) = [Monmarché et al, 1999a], (10) = [Niknam and Amiri, 2010], (11) = [Santos and Bazzan, 2009], (12) = [Chandrasekar and Srinivasan, 2007], (13) = [Cano et al, 2013], (14) = [Wan et al, 2012], (15) = [Tan et al, 2006], (16) = [Bougenière et al, 2009], (17) = [Wang et al, 2007], (18) = [Jebara, 2002], (19) = [Rami and Panchal, 2012], (20) = [Azzag et al, 2007], (21) = [Labroche et al, 2002a], (22) = [Guo et al, 2003], (23) = [Yang and Zhang, 2007], (24) = [Ingaramo et al, 2005], (25) = [Shukran et al, 2011].…”
Section: Evaluating the Mpaca Clustering Performancementioning
confidence: 99%
“…Initially, the Deneubourg and LF algorithms have become well-known models that have been used in applications like data mining [60] [79] and graph-partitioning [47]. Several papers have reported successful applications of ant-based clustering algorithms such as Data retrieval and textual document clustering [63], Classification of stone images [64], Web usage mining [2] [31], Solvency prediction [87], Network traffic analysis [72], Intrusion detection [66], Long-term electrocardiogram processing [55], Textural defect detection [11], Knowledge discovery in DNA chip analysis data [54], Distributed databases [14], Biomedical data processing [53], Image segmentation [67] [81] [83], Human skin analysis and generating portal site [31], Image retrieval [30], Content-based image retrieval [73], Data clustering [75], Clustering and classification [26], Computer forensics [17] and Gene expression data analysis [85].…”
Section: Applicationsmentioning
confidence: 99%
“…Typically, data mining can be categorized based on the functionalities and a basic process is demonstrated as in figure 2. Clustering is a technique to group together a set of items having similar characteristics and it's especially important for discovering the synthesized knowledge econiche.For its algorithms, we proposed colony algorithms [6] which is becoming popular approach to solve combinatorial optimization problems. When ants run into a new crossroad, they will choose a path randomly.…”
Section: B Data Mining Seeking For Guidancementioning
confidence: 99%