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Knowledge Discovery in Databases: an Overview
, 1992
"... this article. 0738-4602/92/$4.00 1992 AAAI 58 AI MAGAZINE for the 1990s (Silberschatz, Stonebraker, and Ullman 1990) ..."
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Cited by 473 (3 self)
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this article. 0738-4602/92/$4.00 1992 AAAI 58 AI MAGAZINE for the 1990s (Silberschatz, Stonebraker, and Ullman 1990)
From Data Mining to Knowledge Discovery in Databases.
- AI Magazine,
, 1996
"... ■ Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. What is all the excitement about? This article provides an overview of this emerging field, clarifying how data mining and knowledge discovery in database ..."
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Cited by 538 (0 self)
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■ Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. What is all the excitement about? This article provides an overview of this emerging field, clarifying how data mining and knowledge discovery
Systems for Knowledge Discovery in Databases
- IEEE Transactions On Knowledge And Data Engineering
, 1993
"... The automated discovery of knowledge in databases is becoming increasingly important as the world's wealth of data continues to grow exponentially. Knowledge-discovery systems face challenging problems from real-world databases which tend to be dynamic, incomplete, redundant, noisy, sparse, and ..."
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Cited by 118 (8 self)
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The automated discovery of knowledge in databases is becoming increasingly important as the world's wealth of data continues to grow exponentially. Knowledge-discovery systems face challenging problems from real-world databases which tend to be dynamic, incomplete, redundant, noisy, sparse
Knowledge Discovery
"... Clustering or finding a natural grouping of a data set is essential for knowledge discovery in many applications. This chapter provides an overview on emerging trends within the vital research area of clustering including subspace and projected clustering, correlation clustering, semi-supervised clu ..."
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Clustering or finding a natural grouping of a data set is essential for knowledge discovery in many applications. This chapter provides an overview on emerging trends within the vital research area of clustering including subspace and projected clustering, correlation clustering, semi
What makes patterns interesting in knowledge discovery systems
- IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
, 1996
"... One of the central problems in the eld of knowledge discovery is the development ofgood measures of interestingness of discovered patterns. Such measures of interestingness are divided into objective measures -- those that depend only on the structure of a pattern and the underlying data used in the ..."
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Cited by 276 (13 self)
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One of the central problems in the eld of knowledge discovery is the development ofgood measures of interestingness of discovered patterns. Such measures of interestingness are divided into objective measures -- those that depend only on the structure of a pattern and the underlying data used
Levelwise Search and Borders of Theories in Knowledge Discovery
, 1997
"... One of the basic problems in knowledge discovery in databases (KDD) is the following: given a data set r, a class L of sentences for defining subgroups of r, and a selection predicate, find all sentences of L deemed interesting by the selection predicate. We analyze the simple levelwise algorithm fo ..."
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Cited by 263 (15 self)
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One of the basic problems in knowledge discovery in databases (KDD) is the following: given a data set r, a class L of sentences for defining subgroups of r, and a selection predicate, find all sentences of L deemed interesting by the selection predicate. We analyze the simple levelwise algorithm
Profiling Topics on the Web for Knowledge Discovery
, 2007
"... Profiling topics on the Web for knowledge discovery ..."
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Cited by 1 (0 self)
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Profiling topics on the Web for knowledge discovery
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