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ICTAI
2002
IEEE
14 years 2 months ago
Machine Learning for Software Engineering: Case Studies in Software Reuse
There are many machine learning algorithms currently available. In the 21st century, the problem no longer lies in writing the learner, but in choosing which learners to run on a ...
Justin S. Di Stefano, Tim Menzies
IPPS
2002
IEEE
14 years 2 months ago
Parallel Incremental 2D-Discretization on Dynamic Datasets
Most current work in data mining assumes that the database is static, and a database update requires rediscovering all the patterns by scanning the entire old and new database. Su...
Srinivasan Parthasarathy, Arun Ramakrishnan
KDD
2010
ACM
257views Data Mining» more  KDD 2010»
14 years 1 months ago
Multi-task learning for boosting with application to web search ranking
In this paper we propose a novel algorithm for multi-task learning with boosted decision trees. We learn several different learning tasks with a joint model, explicitly addressing...
Olivier Chapelle, Pannagadatta K. Shivaswamy, Srin...
AIRS
2004
Springer
14 years 1 months ago
Effective Topic Distillation with Key Resource Pre-selection
Topic distillation aims at finding key resources which are high-quality pages for certain topics. With analysis in non-content features of key resources, a pre-selection method is ...
Yiqun Liu, Min Zhang, Shaoping Ma
AUSDM
2006
Springer
110views Data Mining» more  AUSDM 2006»
14 years 1 months ago
Discovering Debtor Patterns of Centrelink Customers
Data mining is currently becoming an increasingly hot research field, but a large gap still remains between the research of data mining and its application in real-world business....
Yanchang Zhao, Longbing Cao, Yvonne Morrow, Yuming...