归纳式数据库的知识发现/会议录Knowledge Discovery in Inductive Databases pdf pdb 阿里云 极速 mobi caj kindle 下载

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

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- Post-proceedings（consisting of thoroughly revised final full papers）

-research monographs（which may be based on outstanding PhD work, research projects, technical reports, etc.）、

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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