■ Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. What is all the excitement about? This article provides an overview of this emerging field, clarifying how data mining and knowledge discovery in databases are related both to each other and to related fields, such as machine learning, statistics, and databases. The article mentions particular real-world applications, specific data-mining techniques, challenges involved in real-world applications of knowledge discovery, and current and future research directions in the field. Across a wide variety of fields, data are

this paper, and to Fazel Famili for providing much of the materials regarding the panel activities in Section 3.

In this paper we present an overview of our research in discovering useful knowledge from data acquired during the operation and maintenance of a fleet of commercial aircraft. In particular, we discuss the application domain and explain some of the constraints that we have encountered in analyzing this data. We present the approach that we have developed to efficiently analyze large amounts of diverse forms of data available in this domain. Preliminary results for one of the problems that we have investigated are given. Further work and challenging issues are proposed at the end. Keywords: Knowledge Discovery, Data Mining, Feature Engineering, Intelligent Decision Support, Aircraft Operation 1 INTRODUCTION Today, in almost all industries, vast amounts of data, numeric and symbolic, are continuously generated. This is due to increasing progress in the development of process monitoring and data acquisition systems. The situation is particularly true in the operation/maintenance of com...

In this paper we present an overview of our research in discovering useful knowledge from data acquired during the operation and maintenance of a fleet of commercial aircraft. In particular, we discuss the application domain and explain some of the constraints that we have encountered in analyzing this data. We present the approach that we have developed to efficiently analyze large amounts of diverse forms of data available in this domain. Preliminary results for one of the problems that we have investigated are given. Further work and challenging issues are proposed at the end. Keywords: Knowledge Discovery, Data Mining, Feature Engineering, Intelligent Decision Support, Aircraft Operation 1 INTRODUCTION Today, in almost all industries, vast amounts of data, numeric and symbolic, are continuously generated. This is due to increasing progress in the development of process monitoring and data acquisition systems. The situation is particularly true in the operation/maintenance of com...