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» Enriching the ER model based on discovered association rules
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ER
2007
Springer
101views Database» more  ER 2007»
14 years 1 months ago
Using Attributed Goal Graphs for Software Component Selection: An Application of Goal-Oriented Analysis to Decision Making
During software requirements analysis and design steps, developers and stakeholders have many alternatives of artifacts such as software component selection and should make decisi...
Kazuma Yamamoto, Motoshi Saeki
CLIMA
2004
13 years 9 months ago
The Apriori Stochastic Dependency Detection (ASDD) Algorithm for Learning Stochastic Logic Rules
Apriori Stochastic Dependency Detection (ASDD) is an algorithm for fast induction of stochastic logic rules from a database of observations made by an agent situated in an environm...
Christopher Child, Kostas Stathis
CIB
2002
100views more  CIB 2002»
13 years 7 months ago
Web-log Mining for Quantitative Temporal-Event Prediction
The web log data embed much of web users' browsing behavior. From the web logs, one can discover patterns that predict the users' future requests based on their current b...
Qiang Yang, Hui Wang, Wei Zhang
KDD
1998
ACM
141views Data Mining» more  KDD 1998»
13 years 12 months ago
Rule Discovery from Time Series
We consider the problem of nding rules relating patterns in a time series to other patterns in that series, or patterns in one series to patterns in another series. A simple examp...
Gautam Das, King-Ip Lin, Heikki Mannila, Gopal Ren...
SNAM
2011
246views more  SNAM 2011»
13 years 2 months ago
Market basket analysis with networks
The field of market basket analysis, the search for meaningful associations in customer purchase data, is one of the oldest areas of data mining. The typical solution involves th...
Troy Raeder, Nitesh V. Chawla