Titlebook: Intelligent Data Engineering and Automated Learning - IDEAL 2002; Third International Hujun Yin,Nigel Allinson,Simon Hubbard Conference pr

食道

A Hierarchical Model to Support Kansei Mining Processlevels of abstraction, but also according to multiple interpretation of their content. The proposed data warehouse has been used to support the adaptation of web-based image retrieval systems by impression words.

点燃

Accessible

A Knowledge Discovery by Fuzzy Rule Based Hopfield Network so that the number of fuzzy rules and the number of antecedents can be defined. Therefore, it extracts fuzzy rules from the network. The experiments on wine recognition data show good performance concerning predictive accuracy.

Engulf

鲁莽

Calculating Aggregates with Range-Encoded Bit-Sliced Indexhm also uses the population ratio of 1’s in a bitmap to decide whether the bitmap has to be scanned from the disk at all; thus exploiting the opportunity of skipping many bitmap scans since processing them does not affect the solution. These optimizations result in significant improvement in query evaluation time.

Nonflammable

Evolving SQL Queries for Data Miningbsequent queries. The advantages of using SQL queries include their readability for non-experts and ease of integration with existing databases. The evolutionary algorithm (EA) used in our system is very different from existing EAs, but seems to be effective and efficient according to the experiments to date with three different testing data sets.

alleviate

Design of Multi-drilling Gear Machines by Knowledge Processing and Machine Simulatione drilling gears, an automated system based on pattern identification, knowledge discovery and automated decision process is explained. The transfer of acquired manual design experience from the human expert to a software strategy to solve the multi-criteria optimisation problem will achieve cost reductions during the machine design.