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Towards On-Line Analytical Mining in Large Databases (1998)  (Make Corrections)  (10 citations)
Jiawei Han
SIGMOD Record (ACM Special Interest Group on Management of Data)



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Abstract: Great efforts have been paid in the Intelligent Database Systems Research Lab for the research and development of efficient data mining methods and construction of on-line analytical data mining systems. Our work has been focused on the integration of data mining and OLAP technologies and the development of scalable, integrated, and multiple data mining functions. A data mining system, DBMiner, has been developed for interactive mining of multiple-level knowledge in large relational databases... (Update)

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...by classical database systems. The relationships between OLAP and data mining have also been investigated by several authors [GMPS96, Han97, Han98]. The research on statistical databases has been mainly concerned with conceptual modelization. The focus is on the macro data...

.... dimensions of the data set [8] There are also efforts under way to use the data warehouse and OLAP engines to perform data mining [15]. Because all of these queries are often complex and the data warehouse database is often very large, processing the queries quickly is...

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Towards Fuzzy-OLAP Mining - Laurent, Bouchon-Meunier, Doucet   (Correct)
Constraint-Based, Multidimensional Data Mining - Han, al. (1999)   (Correct)
Logic-based Knowledge Discovery in Databases - Giannotti, Nanni, Pedreschi   (Correct)

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BibTeX entry:   (Update)

J. Han. Towards on-line analytical mining in large databases. ACM SIGMOD Record, 27:97--107, 1998. http://citeseer.ist.psu.edu/han98towards.html   More

@article{ han98towards,
    author = "J. Han",
    title = "Towards On-Line Analytical Mining in Large Databases",
    journal = "SIGMOD Record (ACM Special Interest Group on Management of Data)",
    volume = "27",
    number = "1",
    month = "????",
    pages = "97--??",
    year = "1998",
    url = "citeseer.ist.psu.edu/han98towards.html" }
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