Leveraging upon product and process families has been well recognized as an important area for manufacturers to exploit mass production efficiency, wherein the linchpin of managing variety propagation from design to production lies in the mapping relationships between product differentiation and process variation. Taking advantage of knowledge discovery from historical data, this paper applies ...

Itemsets, which are treated as intermediate results in association mining, have attracted significant research due to the inherent complexity of their generation. However, there is currently little literature focusing upon the interactions between itemsets, the nature of which may potentially contain valuable information. This paper presents a novel tree-based approach to discovering itemset in...

The study of association rules within groups of individuals in a database is interesting to define their characteristics and their behavior. In this paper, we define group association rules and we study interestingness measures for them. These evaluation measures can be used to rank groups of individuals and also rules within each group.

あらまし 本稿では,モバイル環境におけるWEB情報の活用に適した新しいインタフェースとして,情報ナ ビゲーションエージェントを提案する.これまでの情報検索システムは,検索結果のユーザへの表示とそれに基 づくクエリの変更を通して多くの情報をいかに絞り込んでいくかが中心的課題であり,デスクトップ環境での利 用に適した方法であった.それに対して我々のエージェントは,検索対象の属性の制約条件を用いて近似解を生 成し,ユーザとの対話を通して情報を得ることにより,漸近的によりよい情報へとナビゲートしていくことがで きる.その際に,エージェントがキーワード間の連想ルールを用いて検索条件の解決と新たな検索条件の追加を 行う手法を提案した.また,連想ルールを不用意に用いるとナビゲーションの失敗を導くため,統計的検定とグ ラフ構造の解析を用いた連想ルールの精錬を行うことを提案し,その有効性を確認した. ...

In this paper, we study the issue of maintaining association rules in a large database of sales transactions. The maintenance of association rules can be mapped into the problem of maintaining large itemsets in the database. Because the mining of association rules is time-consuming, we need an efficient approach to maintain the large itemsets when the database is updated. In this paper, we pres...

To support more efficient video database management, this paper explores the concept of video association mining, with which the association patterns are characterized by sequentially associated video shots and their cluster information. Given a continuous video sequence V, the video shot segmentation mechanism is first introduced to parse it into discrete shots. We then cluster shots into visu...

This study presents a method of acquiring product design knowledge. By analyzing the process and mathematics expression of product design, design attributes are taken as item sets and associated relationship among them are taken as analyzing target. Based on the expression and application for domain knowledge, design data are pretreated. Then the correlations knowledge among design attributes i...