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» How Can Data Mining Help Bio-Data Analysis
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DKE
2008
109views more  DKE 2008»
15 years 2 months ago
Deterministic algorithms for sampling count data
Processing and extracting meaningful knowledge from count data is an important problem in data mining. The volume of data is increasing dramatically as the data is generated by da...
Hüseyin Akcan, Alex Astashyn, Hervé Br...
142
Voted
SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
15 years 4 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
123
Voted
JIFS
2002
134views more  JIFS 2002»
15 years 2 months ago
Classification of gene expression data using fuzzy logic
Microarray technologies have allowed the measurement of expression of multiple genes simultaneously. Gene expression levels can be used to classify tissues into diagnostic or progn...
Lucila Ohno-Machado, Staal A. Vinterbo, Griffin We...
110
Voted
SDM
2004
SIAM
165views Data Mining» more  SDM 2004»
15 years 4 months ago
Visualizing RFM Segmentation
Segmentation based on RFM (Recency, Frequency, and Monetary) has been used for over 50 years by direct marketers to target a subset of their customers, save mailing costs, and imp...
Ron Kohavi, Rajesh Parekh
131
Voted
SDM
2009
SIAM
149views Data Mining» more  SDM 2009»
15 years 11 months ago
Near-optimal Supervised Feature Selection among Frequent Subgraphs.
Graph classification is an increasingly important step in numerous application domains, such as function prediction of molecules and proteins, computerised scene analysis, and an...
Alexander J. Smola, Arthur Gretton, Hans-Peter Kri...