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BMCBI
2005
251views more  BMCBI 2005»
15 years 6 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...
KDD
2004
ACM
624views Data Mining» more  KDD 2004»
15 years 11 months ago
Programming the K-means clustering algorithm in SQL
Using SQL has not been considered an efficient and feasible way to implement data mining algorithms. Although this is true for many data mining, machine learning and statistical a...
Carlos Ordonez
AUSDM
2007
Springer
112views Data Mining» more  AUSDM 2007»
16 years 10 days ago
Measuring Data-Driven Ontology Changes using Text Mining
Most current ontology management systems concentrate on detecting usage-driven changes and representing changes formally in order to maintain the consistency. In this paper, we pr...
Majigsuren Enkhsaikhan, Wilson Wong, Wei Liu, Mark...
PAKDD
2007
ACM
115views Data Mining» more  PAKDD 2007»
16 years 8 days ago
Intelligent Sequential Mining Via Alignment: Optimization Techniques for Very Large DB
The shear volume of the results in traditional support based frequent sequential pattern mining methods has led to increasing interest in new intelligent mining methods to find mo...
Hye-Chung Kum, Joong Hyuk Chang, Wei Wang 0010
IADIS
2004
15 years 7 months ago
A new use of XML for querying databases in Web applications
Internet has changed many aspects of our society, transforming it in e-society, and is having special importance in business world, Internet has converted business in e-business. ...
Ana Fermoso García, María José...