Application Of Association Rules Research Articles

Applying association rules to information navigation

AbstractIn this paper, an information navigation agent is proposed as a new interface for obtaining Web information in a mobile environment. A central task of information retrieval systems developed up to now has been to narrow down a great deal of information by displaying search results to a user, followed by refinement of queries on the basis of these results. These have been methods suitable for use in a desktop environment. In contrast, the authors' agent can navigate toward incrementally better information by generating approximating solutions based on constraints on the attributes of the search object and obtaining further information by dialogue with the user. A scheme in which the agent resolves search conditions by using association rules between keywords and adds new search conditions has been proposed. In addition, since a navigation failure occurs if the association rules are used inappropriately, refining the association rules by using statistical tests and graphic analyses has been proposed and its effectiveness has been verified. © 2003 Wiley Periodicals, Inc. Syst Comp Jpn, 34(4): 12–20, 2003; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/scj.10120

APPLYING ASSOCIATION-RULE TECHNIQUES AND ARTIFICIAL NEURAL NETWORKS TO PRODUCT DEVELOPMENT

ABSTRACT With the help of advanced technology, product life cycle becomes shorter and shorter. Concurrent Engineering (CE), contrast to Sequential Engineering, is a product development paradigm that considers all product life cycle activities at a time to shorten design phase and lower the cost. The activities include manufacturing, assembling, reliability, and recycling. Although CE can condense time-to-market and increases competitiveness of new products, it is found that current CE practice is not enough in customer-oriented design, so the design of product can't satisfy customers' requirements. To solve the described problems, this research applies association rule technique to analyze the customer's preference from different product combination of current market. Meanwhile, since the customer purchase data occurred constantly, this research applies Neural Networks to integrate old rules with new rules. Proposed method has been successfully implemented in cellular phone design case. It is believed that the system can feedback dynamic market information to an enterprise to achieve the goal of Quick Response (QR).

Configuration of cellular manufacturing systems using association rule induction

A cell-formation approach based on association rule induction is developed to find the effective configurations for cellular manufacturing systems. To gain the benefits of flexibility and efficiency, the manufacturing system is decomposed into several manageable subsystems by categorizing similar parts into part families and disparate machines into cells. It is advantageous to find the important associations among machines such that the occurrence of some machines in a machine cell will cause the occurrence of other machines in the same cell. Relationships among machines can be found from the process database by inducting association rules. By applying association rules to cell-formation problems, certain sets of machines (machine groups) that frequently process some parts together can be inducted. A data-mining technique referred to as association rule induction is used herein to find the association rules among machines from the process database. Seventeen data sets of various size and complexity were used to evaluate the effectiveness of the proposed cell-formation algorithm based on association rule induction. The performance of the proposed approach is compared with several existing techniques. From the computational results, the proposed approach shows its ability to find quality solutions.

Association rules applied to intrusion detection

We discuss the basic intrusion detection techniques, and focus on how to apply association rules to intrusion detection. Begin with analyzing some close relations between user’s behaviors, we discuss the mining algorithm of association rules and apply to detect anomaly in IDS. Moreover, according to the characteristic of intrusion detection, we optimize the mining algorithm of association rules, and use fuzzy logic to improve the system performance.