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SBACPAD
2003
IEEE
180views Hardware» more  SBACPAD 2003»
15 years 8 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...
IDEAS
2000
IEEE
90views Database» more  IDEAS 2000»
15 years 7 months ago
StreamJoin: A Generic Database Approach to Support the Class of Stream-Oriented Applications
Today many applications routinely generate large quantities of data. The data often takes the form of (time) series, or more generally streams, i.e. an ordered sequence of records...
Clara Nippl, Ralf Rantzau, Bernhard Mitschang
PODS
1997
ACM
72views Database» more  PODS 1997»
15 years 7 months ago
OLAP and Statistical Databases: Similarities and Differences
During the 1980's there was a lot of activity in the area of Statistical Databases, focusing mostly on socio-economic type applications, such as census data, national product...
Arie Shoshani
DEXAW
2008
IEEE
126views Database» more  DEXAW 2008»
15 years 4 months ago
Incorporating Database Systems into a Secure Software Development Methodology
We have proposed in the past three separate methodologies for secure software development. We have found that they have many common and complementary aspects and we proposed a com...
Eduardo B. Fernández, Jan Jürjens, Nob...
128
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JCP
2006
173views more  JCP 2006»
15 years 2 months ago
Database Intrusion Detection using Weighted Sequence Mining
Data mining is widely used to identify interesting, potentially useful and understandable patterns from a large data repository. With many organizations focusing on webbased on-lin...
Abhinav Srivastava, Shamik Sural, Arun K. Majumdar