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

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 ***anizati*** 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 w*** 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（c***isting 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

C***traint Relaxati*** for Discovering Unknown Sequential Patterns

Mining Formal Concepts with a Bounded Number of Excepti*** from Transactional Data

Theoretical Bounds on the Size of Condensed Representati***

Mining Interesting XML-Enabled Association Rules with Templates

Database Transposition for C***trained (Closed) Pattern Mining

An Efficient Algorithm for Mining String Databases Under C***traints

An Automata Approach to Pattern Collecti***

Implicit Enumeration of Patterns

Condensed Representation of EPs and Patterns Quantified by Frequency-Based Measures

Author Index

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