Sciweavers

16 search results - page 1 / 4
» Fast Mining of Massive Tabular Data via Approximate Distance...
Sort
View
ICDE
2002
IEEE
126views Database» more  ICDE 2002»
14 years 5 months ago
Fast Mining of Massive Tabular Data via Approximate Distance Computations
Graham Cormode, Piotr Indyk, Nick Koudas, S. Muthu...
KDD
2002
ACM
182views Data Mining» more  KDD 2002»
14 years 5 months ago
ANF: a fast and scalable tool for data mining in massive graphs
Graphs are an increasingly important data source, with such important graphs as the Internet and the Web. Other familiar graphs include CAD circuits, phone records, gene sequences...
Christopher R. Palmer, Phillip B. Gibbons, Christo...
CIKM
2006
Springer
13 years 8 months ago
Mining compressed commodity workflows from massive RFID data sets
Radio Frequency Identification (RFID) technology is fast becoming a prevalent tool in tracking commodities in supply chain management applications. The movement of commodities thr...
Hector Gonzalez, Jiawei Han, Xiaolei Li
SDM
2008
SIAM
118views Data Mining» more  SDM 2008»
13 years 6 months ago
Massive-Scale Kernel Discriminant Analysis: Mining for Quasars
We describe a fast algorithm for kernel discriminant analysis, empirically demonstrating asymptotic speed-up over the previous best approach. We achieve this with a new pattern of...
Ryan Riegel, Alexander Gray, Gordon Richards

Publication
197views
12 years 15 days ago
Convex non-negative matrix factorization for massive datasets
Non-negative matrix factorization (NMF) has become a standard tool in data mining, information retrieval, and signal processing. It is used to factorize a non-negative data matrix ...
C. Thurau, K. Kersting, M. Wahabzada, and C. Bauck...