Sciweavers

Share
13 search results - page 1 / 3
» Incremental pattern discovery on streams, graphs and tensors
Sort
View
SIGKDD
2008
125views more  SIGKDD 2008»
10 years 1 months ago
Incremental pattern discovery on streams, graphs and tensors
Incremental pattern discovery targets streaming applications where the data continuously arrive incrementally. The questions are how to find patterns (main trends) incrementally; ...
Jimeng Sun
DATAMINE
2008
137views more  DATAMINE 2008»
10 years 1 months ago
Two heads better than one: pattern discovery in time-evolving multi-aspect data
Abstract. Data stream values are often associated with multiple aspects. For example, each value observed at a given time-stamp from environmental sensors may have an associated ty...
Jimeng Sun, Charalampos E. Tsourakakis, Evan Hoke,...
KDD
2012
ACM
271views Data Mining» more  KDD 2012»
8 years 3 months ago
GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries
Many data are modeled as tensors, or multi dimensional arrays. Examples include the predicates (subject, verb, object) in knowledge bases, hyperlinks and anchor texts in the Web g...
U. Kang, Evangelos E. Papalexakis, Abhay Harpale, ...
VLDB
2005
ACM
122views Database» more  VLDB 2005»
10 years 7 months ago
Streaming Pattern Discovery in Multiple Time-Series
In this paper, we introduce SPIRIT (Streaming Pattern dIscoveRy in multIple Timeseries). Given n numerical data streams, all of whose values we observe at each time tick t, SPIRIT...
Spiros Papadimitriou, Jimeng Sun, Christos Falouts...
ICDM
2006
IEEE
92views Data Mining» more  ICDM 2006»
10 years 7 months ago
Window-based Tensor Analysis on High-dimensional and Multi-aspect Streams
Data stream values are often associated with multiple aspects. For example, each value from environmental sensors may have an associated type (e.g., temperature, humidity, etc) as...
Jimeng Sun, Spiros Papadimitriou, Philip S. Yu
books