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ICDE
2000
IEEE
112views Database» more  ICDE 2000»
14 years 9 months ago
DEMON: Mining and Monitoring Evolving Data
Data mining algorithms have been the focus of much research recently. In practice, the input data to a data mining process resides in a large data warehouse whose data is kept up-...
Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishn...
ISNN
2011
Springer
12 years 11 months ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
ACL
2007
13 years 10 months ago
Fast Unsupervised Incremental Parsing
This paper describes an incremental parser and an unsupervised learning algorithm for inducing this parser from plain text. The parser uses a representation for syntactic structur...
Yoav Seginer
SIGIR
2012
ACM
11 years 11 months ago
Utilizing inter-document similarities in federated search
We demonstrate the merits of using inter-document similarities for federated search. Specifically, we study a resultsmerging method that utilizes information induced from cluster...
Savva Khalaman, Oren Kurland
ICCD
2006
IEEE
119views Hardware» more  ICCD 2006»
14 years 5 months ago
FA-STAC: A Framework for Fast and Accurate Static Timing Analysis with Coupling
— This paper presents a framework for fast and accurate static timing analysis considering coupling. With technology scaling to smaller dimensions, the impact of coupling induced...
Debasish Das, Ahmed Shebaita, Hai Zhou, Yehea I. I...