Sciweavers

151 search results - page 1 / 31
» Data mining in bioinformatics using Weka
Sort
View
BIOINFORMATICS
2004
59views more  BIOINFORMATICS 2004»
13 years 4 months ago
Data mining in bioinformatics using Weka
Eibe Frank, Mark Hall, Leonard E. Trigg, Geoffrey ...
PKDD
2005
Springer
136views Data Mining» more  PKDD 2005»
13 years 10 months ago
Weka4WS: A WSRF-Enabled Weka Toolkit for Distributed Data Mining on Grids
This paper presents Weka4WS, a framework that extends the Weka toolkit for supporting distributed data mining on Grid environments. Weka4WS adopts the emerging Web Services Resourc...
Domenico Talia, Paolo Trunfio, Oreste Verta
SEKE
2005
Springer
13 years 10 months ago
A Reuse-based Spatial Data Preparation Framework for Data Mining
The constant increase in use of geographic data in different application domains has resulted in large amounts of data stored in spatial databases and in the desire of data mining....
Vania Bogorny, Paulo Martins Engel, Luis Otá...
PKDD
2010
Springer
127views Data Mining» more  PKDD 2010»
13 years 2 months ago
Software-Defect Localisation by Mining Dataflow-Enabled Call Graphs
Defect localisation is essential in software engineering and is an important task in domain-specific data mining. Existing techniques building on call-graph mining can localise dif...
Frank Eichinger, Klaus Krogmann, Roland Klug, Klem...
IISWC
2006
IEEE
13 years 11 months ago
An Architectural Characterization Study of Data Mining and Bioinformatics Workloads
— Data mining is the process of automatically finding implicit, previously unknown, and potentially useful information from large volumes of data. Recent advances in data extrac...
Berkin Özisikyilmaz, Ramanathan Narayanan, Jo...