归纳式数据库的知识发现/会议录Knowledge Discovery in Inductive Databases 下载 网盘 kindle mobi 115盘 pdf pdb rtf

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.）、

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

暂无相关内容，正在全力查找中

暂无出版社相关信息，正在全力查找中！

暂无相关书籍摘录，正在全力查找中！

在线阅读地址：归纳式数据库的知识发现/会议录Knowledge Discovery in Inductive Databases在线阅读

在线听书地址：归纳式数据库的知识发现/会议录Knowledge Discovery in Inductive Databases在线收听

在线购买地址：归纳式数据库的知识发现/会议录Knowledge Discovery in Inductive Databases在线购买

暂无原文赏析，正在全力查找中！

暂无其它内容！