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» Architectural Support for Data Mining
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158
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BMCBI
2005
251views more  BMCBI 2005»
15 years 3 months ago
Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
Tapio Pahikkala, Filip Ginter, Jorma Boberg, Jouni...
170
Voted
KDD
2012
ACM
243views Data Mining» more  KDD 2012»
13 years 6 months ago
Storytelling in entity networks to support intelligence analysts
Intelligence analysts grapple with many challenges, chief among them is the need for software support in storytelling, i.e., automatically ‘connecting the dots’ between dispar...
M. Shahriar Hossain, Patrick Butler, Arnold P. Boe...
VLDB
1998
ACM
103views Database» more  VLDB 1998»
15 years 8 months ago
The Drill Down Benchmark
Data Mining places specific requirements on DBMS query performance that cannot be evaluated satisfactorily using existing OLAP benchmarks. The DD Benchmark - defined here - provid...
Peter A. Boncz, Tim Rühl, Fred Kwakkel
125
Voted
LREC
2008
166views Education» more  LREC 2008»
15 years 5 months ago
KnoFusius: a New Knowledge Fusion System for Interpretation of Gene Expression Data
This paper introduces a new architecture that aims at combining molecular biology data with information automatically extracted from scientific literature (using text mining techn...
Pavel Smrz
137
Voted
EDBT
2008
ACM
138views Database» more  EDBT 2008»
16 years 3 months ago
Mine your own business, mine others' news!
Major media companies such as The Financial Times, the Wall Street Journal or Reuters generate huge amounts of textual news data on a daily basis. Mining frequent patterns in this...
Boualem Benatallah, Guillaume Raschia, Noureddine ...