归纳式数据库的知识发现/会议录Knowledge Discovery in Inductive Databases 夸克云 docx snb kindle pdf 网盘 azw3 下载

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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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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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