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» Phenomenal Data Mining: From Data to Phenomena
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SOCO
2002
Springer
15 years 1 months ago
Granular neural web agents for stock prediction
A granular neural Web-based stock prediction agent is developed using the granular neural network (GNN) that can discover fuzzy rules. Stock data sets are downloaded from www.yahoo...
Yan-Qing Zhang, Somasheker Akkaladevi, George J. V...
ICDE
2009
IEEE
176views Database» more  ICDE 2009»
16 years 3 months ago
Discovering Conditional Functional Dependencies
This paper investigates the discovery of conditional functional dependencies (CFDs). CFDs are a recent extension of functional dependencies (FDs) by supporting patterns of semantic...
Wenfei Fan, Floris Geerts, Laks V. S. Lakshmanan, ...
VLDB
2007
ACM
122views Database» more  VLDB 2007»
16 years 1 months ago
MIST: Distributed Indexing and Querying in Sensor Networks using Statistical Models
The modeling of high level semantic events from low level sensor signals is important in order to understand distributed phenomena. For such content-modeling purposes, transformat...
Arnab Bhattacharya, Anand Meka, Ambuj K. Singh
ISCA
2007
IEEE
161views Hardware» more  ISCA 2007»
15 years 7 months ago
Physical simulation for animation and visual effects: parallelization and characterization for chip multiprocessors
We explore the emerging application area of physics-based simulation for computer animation and visual special effects. In particular, we examine its parallelization potential and...
Christopher J. Hughes, Radek Grzeszczuk, Eftychios...
SIGMETRICS
2003
ACM
136views Hardware» more  SIGMETRICS 2003»
15 years 6 months ago
Internet intrusions: global characteristics and prevalence
Network intrusions have been a fact of life in the Internet for many years. However, as is the case with many other types of Internet-wide phenomena, gaining insight into the glob...
Vinod Yegneswaran, Paul Barford, Johannes Ullrich