R. Agrawal, Data mining: crossing the chasm, in: Fifth International Conference on Knowledge Discovery in  Home/Search Document Not in Database Summary Related Articles Check |
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Data Quality Mining - Making a Virtue of Necessity - Hipp, Güntzer, Grimmer (2001) (3 citations) (Correct)
....analyze even very large datasets. However, KDD has not been broadly established outside academia. Although there are numerous success stories of practical applications today many of the people concerned with KDD seem to be somehow disillusioned. Crossing the chasm as Rakesh Agrawal formulates in (Agrawal, 1999) is overdue. Otherwise KDD might end like many promising technologies that were welcomed enthusiastically but finally missed to satisfy the expectations they generated. The research community is aware that KDD implies much more than running a highly optimized algorithm on a large dataset. ....
Agrawal, R. (1999). Data mining: Crossing the chasm.
Web Usage Mining: Discovery and Application of Interestin.. - Cooley (2000) (24 citations) (Correct)
....and up sales in e commerce. Web Usage Mining is an excellent approach for achieving this goal, as illustrated in the WebPersonalizer system [74] Existing recommendation systems, such as [9, 11] do not currently use data mining for recommendations, though there have been some recent proposals [19]. WebWatcher [59] SiteHelper [78] Letizia [66] WebPersonalizer [74] and work by Yan et al. 109] have all concentrated on providing Web Site personalization based on usage information. Web server logs were used by Yan et al. 109] to discover clusters of users having similar access patterns. ....
R. Agrawal. Data mining: Crossing the chasm. Invited talk at the 5th ACM SIGKDD Int'l Conference on Knowledge Discovery and Data Mining(KDD99), 1999.
InformationSnform - Privacy Preserving Mining (2004) Self-citation (Agrawal) (Correct)
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R. Agrawal, Data mining: crossing the chasm, in: Fifth International Conference on Knowledge Discovery in
Privacy Preserving Mining of Association Rules - Evfimievski, Srikant.. (2002) (48 citations) Self-citation (Agrawal) (Correct)
....to data. Data mining, with its promise to efficiently discover valuable, non obvious information from large databases, is particularly vulnerable to misuse [11] 16] 20] 23] An interesting new direction for data mining research is the development of techniques that incorporate privacy concerns [3]. The following question was raised in [7] since the Department of Computer Science Cornell University, Ithaca, NY 14853, USA Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or ....
R. Agrawal. Data Mining: Crossing the Chasm. In 5th Int'l Conference on Knowledge Discovery in Databases and Data Mining, San Diego, California, August 1999. Available from http://www.almaden.ibm.com/cs/quest/ papers/kdd99 chasm.ppt.
Privacy-Preserving Data Mining - Agrawal, Srikant (2000) (98 citations) Self-citation (Agrawal) (Correct)
.... with its promise to efficiently discover valuable, non obvious information from large databases, is particularly vulnerable to misuse [CM96] The98] Off98] ECB99] A fruitful direction for future research in data mining will be the development of techniques that incorporate privacy concerns [Agr99] Specifically, we address the following question. Since the primary task in data mining is the development of models about aggregated data, can we develop accurate models without access to precise information in individual data records The underlying assumption is that a person will be willing ....
Rakesh Agrawal. Data Mining: Crossing the Chasm. In 5th Int'l Conference on Knowledge Discovery in Databases and Data Mining, San Diego, California, August 1999. Available from http://www.almaden.ibm.com/cs/quest/ papers/kdd99 chasm.ppt.
Hiding Association Rules by Using Confidence and Support - Dasseni, Verykios.. (2001) (13 citations) (Correct)
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R. Agrawal. "Data Mining: Crossing The Chasm". In Proceedings of 5th Int'l Conference on Knowledge Discovery in Databases and Data Mining, San Diego, California, August 1999.
Mining Distributed and Heterogeneous Data Sources: .. - Hristofis.. (Correct)
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Agrawal R. Data Mining: Crossing the Chasm. Invited talk at the 5th ACM SIGKDD Int'l Conference on Knowledge Discovery and Data Mining (KDD-99), San Diego, California, August 1999.
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