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EDM
2010
121views Data Mining» more  EDM 2010»
15 years 11 days ago
Identifying Students' Inquiry Planning Using Machine Learning
This research investigates the detection of student meta-cognitive planning processes in real-time using log tracing techniques. We use fine and coarse-grained data distillation, i...
Orlando Montalvo, Ryan Shaun Joazeiro de Baker, Mi...
PDP
2002
IEEE
15 years 6 months ago
Scalable Monitoring and Configuration Tools for Grids and Clusters
We present the Ka-admin project that addresses the problem of collecting, visualizing and feeding back any grid information, trace or snapshot, compliant to an XML-like model. Rea...
Philippe Augerat, Cyrill Martin, Benhur Stein
CLUSTER
2006
IEEE
15 years 1 months ago
Deferred Assignment Scheduling in Cluster-Based Servers
This paper proposes a new scheduling policy for cluster-based servers called DAS (Deferred Assignment Scheduling). The main idea in DAS is to defer scheduling as much as possible,...
Victoria Ungureanu, Benjamin Melamed, Michael N. K...
AUSDM
2008
Springer
238views Data Mining» more  AUSDM 2008»
15 years 3 months ago
Graphics Hardware based Efficient and Scalable Fuzzy C-Means Clustering
The exceptional growth of graphics hardware in programmability and data processing speed in the past few years has fuelled extensive research in using it for general purpose compu...
S. A. Arul Shalom, Manoranjan Dash, Minh Tue
SBACPAD
2003
IEEE
180views Hardware» more  SBACPAD 2003»
15 years 7 months ago
New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...