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PVLDB
2008
107views more  PVLDB 2008»
14 years 10 months ago
Finding relevant patterns in bursty sequences
Sequence data is ubiquitous and finding frequent sequences in a large database is one of the most common problems when analyzing sequence data. Unfortunately many sources of seque...
Alexander Lachmann, Mirek Riedewald
SIGMOD
2010
ACM
144views Database» more  SIGMOD 2010»
15 years 3 months ago
Interactive visual exploration of neighbor-based patterns in data streams
We will demonstrate our system, called V iStream, supporting interactive visual exploration of neighbor-based patterns [7] in data streams. V istream does not only apply innovativ...
Di Yang, Zhenyu Guo, Zaixian Xie, Elke A. Rundenst...
ICAI
2004
15 years 20 days ago
Inductive System Health Monitoring
- The Inductive Monitoring System (IMS) software was developed to provide a technique to automatically produce health monitoring knowledge bases for systems that are either difficu...
David L. Iverson
KDD
2010
ACM
265views Data Mining» more  KDD 2010»
15 years 3 months ago
Combining predictions for accurate recommender systems
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
Michael Jahrer, Andreas Töscher, Robert Legen...
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
15 years 11 months ago
Mining social networks for personalized email prioritization
Email is one of the most prevalent communication tools today, and solving the email overload problem is pressingly urgent. A good way to alleviate email overload is to automatical...
Shinjae Yoo, Yiming Yang, Frank Lin, Il-Chul Moon