Titlebook: Knowledge Discovery in Inductive Databases; 5th International Wo Sa?o D?eroski,Jan Struyf Conference proceedings 2007 Springer-Verlag Berli

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書目名稱Knowledge Discovery in Inductive Databases讀者反饋




書目名稱Knowledge Discovery in Inductive Databases讀者反饋學(xué)科排名

語言學(xué)

Frequent Pattern Mining and Knowledge Indexing Based on Zero-Suppressed BDDserns but also compactly indexes the output data in main memory. After mining, the pattern results can be analyzed efficiently by using algebraic operations. BDD-based data structures have previously been used successfully in VLSI logic design, but our method is the first practical application of BDD-based techniques in the data mining area.

辯論的終結(jié)

Three Strategies for Concurrent Processing of Frequent Itemset Queries Using FP-Growthications. The second is an implementation of the general idea of Common Counting for FP-growth. The last is a completely new strategy, motivated by identified shortcomings of the previous two strategies in the context of FP-growth.

Assignment

Mining Bi-sets in Numerical Datairectly numerical data to extract collections of relevant bi-sets, i.e., couples of associated sets of objects and attributes which satisfy some user-defined constraints. Not only we propose a new pattern domain but also we introduce a complete solver for computing the so-called numerical bi-sets. Preliminary experimental validation is given.

overture

Analysis of Time Series Data with Predictive Clustering Treeshows that Clus-TS is able to cluster genes with similar responses, and to predict the time series based on the description of a gene. Clus-TS is part of a larger project where the goal is to investigate how global models can be combined with inductive databases.

Cardiac-Output

Integrating Decision Tree Learning into Inductive Databasesrmat proposed earlier for association rules, and queryable using standard SQL; and we present a prototype system in which part of the needed functionality is implemented. In particular, we have developed an exhaustive tree learning algorithm able to answer a wide range of constrained queries.

英寸

借喻

從屬

Extracting Trees of Quantitative Serial Episodeshaviors among the occurrences, according to the duration of the . steps, and providing quantitative bounds of these durations organized in a tree structure; (2) the possibility to extract them in a complete way; and (3) to perform such extractions at the cost of a limited overhead with respect to the extraction of standard episodes.

Arbitrary

IQL: A Proposal for an Inductive Query Languagetives. The language integrates ideas from several other declarative programming languages, such as pattern matching and function typing. We hope that it will be useful as an overall specification language for integrating data mining systems and principles.