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In database marketing, data mining has been used extensively to find the optimal customer targets so as to maximize return on investment. In particular, using marketing campaign data, models are typically developed to identify characteristics of customers who are most likely to respond. While...
In this paper, we present an automated text classification system for the classification of biomedical papers. This classification is based on whether there is experimental evidence for the expression of molecular gene products for specified genes within a given paper. The system performs...
In this paper, we provide a summary of the WEBKDD 2002 workshop, whose theme was 'Web Mining for Usage Patterns and Profiles'. This workshop was held in conjunction with the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2002).
This report presents a brief overview of multimedia data mining and the corresponding workshop series at ACM SIGKDD conference series on data mining and knowledge discovery. It summarizes the presentations, conclusions and directions for future work that were discussed during the 3 rd edition of...
Suppose there are many clients, each having some personal information, and one server, which is interested only in aggregate, statistically significant, properties of this information. The clients can protect privacy of their data by perturbing it with a randomization algorithm and then...
Genomics data has many properties that make it different from "typical" relational data. The presence of multi-valued attributes as well as the large number of null values led us to a P-tree-based bit-vector representation in which matching 1-values were counted to evaluate similarity between...
This article describes Task 2 of the KDD Cup 2002 datamining competition. The task involved predicting whether deletions of individual genes in a yeast genome would affect a particular signaling pathway in the cell. With its rich data sources and abundance of missing information, the task is...
Intrusion detection is an essential component of the layered computer security mechanisms. It requires accurate and efficient models for analyzing a large amount of system and network audit data. This paper is an overview of our research in applying data mining techniques to build intrusion...
This paper describes an approach that won honorable mention for the gene regulation prediction task of the 2002 KDD Cup competition 1. Our methodology used extensive cross-validation to direct the search for an appropriate problem representation and the selection of an 'off-the-shelf' induction...
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