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» Benchmarking Data Mining Algorithms
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KDD
1997
ACM
113views Data Mining» more  KDD 1997»
14 years 2 months ago
A Guided Tour through the Data Mining Jungle
Animportantsuccessfactor for the field of KDDlies in the developmentand integration of methodsfor supporting the construction and execution of KDDprocesses. Crucial aspects in thi...
Robert Engels, Guido Lindner, Rudi Studer
SBBD
2008
183views Database» more  SBBD 2008»
13 years 11 months ago
Mining Software Repositories for Software Change Impact Analysis: A Case Study
Abstract Data mining algorithms have been recently applied to software repositories to help on the maintenance of evolving software systems. In the past, information about what cla...
Lile Hattori, Gilson Pereira dos Santos Jr., Ferna...
DATAMINE
1999
152views more  DATAMINE 1999»
13 years 9 months ago
Discovery of Frequent DATALOG Patterns
Discovery of frequent patterns has been studied in a variety of data mining settings. In its simplest form, known from association rule mining, the task is to discover all frequent...
Luc Dehaspe, Hannu Toivonen
ASC
2008
13 years 10 months ago
Dynamic data assigning assessment clustering of streaming data
: Discovering interesting patterns or substructures in data streams is an important challenge in data mining. Clustering algorithms are very often applied to identify single substr...
Olga Georgieva, Frank Klawonn
KDD
2008
ACM
138views Data Mining» more  KDD 2008»
14 years 10 months ago
Quantitative evaluation of approximate frequent pattern mining algorithms
Traditional association mining algorithms use a strict definition of support that requires every item in a frequent itemset to occur in each supporting transaction. In real-life d...
Rohit Gupta, Gang Fang, Blayne Field, Michael Stei...