عنوان

Database Support for Data Mining Applications :

(Number (ISBN

3540224793

(Number (ISBN

3540444971

(Number (ISBN

9783540224792

(Number (ISBN

9783540444978

Number

b566055

Title Proper

Database Support for Data Mining Applications :

General Material Designation

[Book]

Other Title Information

Discovering Knowledge with Inductive Queries

First Statement of Responsibility

by Rosa Meo, Pier L. Lanzi, Mika Klemettinen.

Place of Publication, Distribution, etc.

Berlin, Heidelberg

Name of Publisher, Distributor, etc.

Springer Berlin Heidelberg

Date of Publication, Distribution, etc.

2004

Specific Material Designation and Extent of Item

: v.: digital

Series Title

Lecture notes in computer science, 2682.

Text of Note

Database Languages and Query Execution --; Inductive Databases and Multiple Uses of Frequent Itemsets: The cInQ Approach --; Query Languages Supporting Descriptive Rule Mining: A Comparative Study --; Declarative Data Mining Using SQL3 --; Towards a Logic Query Language for Data Mining --; A Data Mining Query Language for Knowledge Discovery in a Geographical Information System --; Towards Query Evaluation in Inductive Databases Using Version Spaces --; The GUHA Method, Data Preprocessing and Mining --; Constraint Based Mining of First Order Sequences in SeqLog --; Support for KDD-Process --; Interactivity, Scalability and Resource Control for Efficient KDD Support in DBMS --; Frequent Itemset Discovery with SQL Using Universal Quantification --; Deducing Bounds on the Support of Itemsets --; Model-Independent Bounding of the Supports of Boolean Formulae in Binary Data --; Condensed Representations for Sets of Mining Queries --; One-Sided Instance-Based Boundary Sets --; Domain Structures in Filtering Irrelevant Frequent Patterns --; Integrity Constraints over Association Rules.

Text of Note

Data mining from traditional relational databases as well as from non-traditional ones such as semi-structured data, Web data, and scientific databases housing biological, linguistic, and sensor data has recently become a popular way of discovering hidden knowledge. This book on database support for data mining is developed to approaches exploiting the available database technology, declarative data mining, intelligent querying, and associated issues, such as optimization, indexing, query processing, languages, and constraints. Attention is also paid to the solution of data preprocessing problems, such as data cleaning, discretization, and sampling. The 16 reviewed full papers presented were carefully selected from various workshops and conferences to provide complete and competent coverage of the core issues. Some papers were developed within an EC funded project on discovering knowledge with inductive queries.

Artificial intelligence.

Computer science.

Database management.

Class number

Book number

by Rosa Meo, Pier L. Lanzi, Mika Klemettinen.

Mika Klemettinen

Pier Luca Lanzi

Rosa Meo

Electronic name

[Book]

Y