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Knowledge Discovery in Multiple Databases Book

Knowledge Discovery in Multiple Databases
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Knowledge Discovery in Multiple Databases, The Web has emerged as a large, distributed data repository, and information on the Internet and in existing transaction databases can be analyzed for commercial gains in decision making. Therefore, how to efficiently identify quality knowledge from diffe, Knowledge Discovery in Multiple Databases
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  • Knowledge Discovery in Multiple Databases
  • Written by author Shichao Zhang
  • Published by Springer-Verlag New York, LLC, 1/28/2013
  • The Web has emerged as a large, distributed data repository, and information on the Internet and in existing transaction databases can be analyzed for commercial gains in decision making. Therefore, how to efficiently identify quality knowledge from diffe
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Book Categories

Authors

1 Importance of multi-database mining 1
2 Data mining and multi-database mining 27
3 Local pattern analysis 63
4 Identifying quality knowledge 75
5 Database clustering 103
6 Dealing with inconsistency 137
7 Identifying high-vote patterns 157
8 Identifying exceptional patterns 185
9 Synthesizing local patterns by weighting 197
10 Conclusions and future work 215


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Knowledge Discovery in Multiple Databases, The Web has emerged as a large, distributed data repository, and information on the Internet and in existing transaction databases can be analyzed for commercial gains in decision making. Therefore, how to efficiently identify quality knowledge from diffe, Knowledge Discovery in Multiple Databases

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Knowledge Discovery in Multiple Databases, The Web has emerged as a large, distributed data repository, and information on the Internet and in existing transaction databases can be analyzed for commercial gains in decision making. Therefore, how to efficiently identify quality knowledge from diffe, Knowledge Discovery in Multiple Databases

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