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KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 9 months ago
Efficient methods for topic model inference on streaming document collections
Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
Limin Yao, David M. Mimno, Andrew McCallum
TEC
2008
104views more  TEC 2008»
13 years 9 months ago
Genetic-Fuzzy Data Mining With Divide-and-Conquer Strategy
Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction data i...
Tzung-Pei Hong, Chun-Hao Chen, Yeong-Chyi Lee, Yu-...
ICCD
2002
IEEE
138views Hardware» more  ICCD 2002»
14 years 6 months ago
The Imagine Stream Processor
The Imagine Stream Processor is a single-chip programmable media processor with 48 parallel ALUs. At 400 MHz, this translates to a peak arithmetic rate of 16 GFLOPS on single-prec...
Ujval J. Kapasi, William J. Dally, Scott Rixner, J...
VLDB
2004
ACM
112views Database» more  VLDB 2004»
14 years 2 months ago
AIDA: an Adaptive Immersive Data Analyzer
In this demonstration, we show various querying capabilities of an application called AIDA. AIDA is developed to help the study of attention disorder in kids. In a different stud...
Mehdi Sharifzadeh, Cyrus Shahabi, Bahareh Navai, F...
DAWAK
2000
Springer
14 years 1 months ago
Mining Frequent Binary Expressions
In data mining, searching for frequent patterns is a common basic operation. It forms the basis of many interesting decision support processes. In this paper we present a new type ...
Toon Calders, Jan Paredaens