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» Phenomenal Data Mining: From Data to Phenomena
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EDM
2010
134views Data Mining» more  EDM 2010»
15 years 8 months ago
Examining Learner Control in a Structured Inquiry Cycle Using Process Mining
High potential variation in prior knowledge, metacognitive skills, and motivation within learner populations can prompt design strategies that combine explicit structuring and scaf...
Larry Howard, Julie Johnson, Carin Neitzel
FIMI
2003
120views Data Mining» more  FIMI 2003»
15 years 8 months ago
MAFIA: A Performance Study of Mining Maximal Frequent Itemsets
We present a performance study of the MAFIA algorithm for mining maximal frequent itemsets from a transactional database. In a thorough experimental analysis, we isolate the effec...
Douglas Burdick, Manuel Calimlim, Jason Flannick, ...
WIDM
1999
ACM
15 years 11 months ago
Warehousing and Mining Web Logs
Analyzing Web Logs for usage and access trends can not only provide important information to web site developers and administrators, but also help in creating adaptive web sites. ...
Karuna P. Joshi, Anupam Joshi, Yelena Yesha, Raghu...
207
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INCDM
2007
Springer
97views Data Mining» more  INCDM 2007»
16 years 28 days ago
Clustering by Random Projections
Abstract. Clustering algorithms for multidimensional numerical data must overcome special difficulties due to the irregularities of data distribution. We present a clustering algo...
Thierry Urruty, Chabane Djeraba, Dan A. Simovici
PKDD
2005
Springer
131views Data Mining» more  PKDD 2005»
16 years 8 days ago
ISOLLE: Locally Linear Embedding with Geodesic Distance
Locally Linear Embedding (LLE) has recently been proposed as a method for dimensional reduction of high-dimensional nonlinear data sets. In LLE each data point is reconstructed fro...
Claudio Varini, Andreas Degenhard, Tim W. Nattkemp...