Knowledge Discovery in Inductive Databases归纳式数据库的知识发现/会议录

Knowledge Discovery in Inductive Databases归纳式数据库的知识发现/会议录 - 图书城

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作者:
Francesco Bonchi 著
ISBN:
9783540250821 , 3540250824
出版社:
出版日期:
2006-8-1
定价:
474.60
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内容提要:
The LNCS series reports state-of-the-art results in computer science research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and Societies, LNCS has grown into the most comprehensive computer science research forum available.
The scope of LNCS, including its sub series LNAI, spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. The type of material published traditionally includes
  - Proceedings(published in time for the respective conference)
  - Post-proceedings(consisting of thoroughly revised final full papers)
  -research monographs(which may be based on outstanding PhD work, research projects, technical reports, etc.)、
目录:
Invited Paper
Models and Indices for Integrating Unstructured Data with a Relational Database
Contributed Papers
Constraint Relaxations for Discovering Unknown Sequential Patterns
Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data
Theoretical Bounds on the Size of Condensed Representations
Mining Interesting XML-Enabled Association Rules with Templates
Database Transposition for Constrained (Closed) Pattern Mining
An Efficient Algorithm for Mining String Databases Under Constraints
An Automata Approach to Pattern Collections
Implicit Enumeration of Patterns
Condensed Representation of EPs and Patterns Quantified by Frequency-Based Measures
Author Index
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