In this paper, we provide the preliminaries of basic concepts about association rule mining
and survey the list of existing association rule mining techniques. Of course, a single article …

Supervised classification based on Contrast Patterns (CP) is a trending topic in the pattern
recognition literature, partly because it contains an important family of both understandable …

Data mining includes a wide range of activities such as classification, clustering, similarity
analysis, summarization, association rule and sequential pattern discovery, and so forth. The …

Most previous work on periodicy detection has focused on mining synchronous periodic
patterns and does not recognize misaligned presence of a pattern due to the intervention of …

US PATENT DOCUMENTS Various embodiments and implementations include a system
5,742,811 A 4, 1998 Agrawal et al.............. 395/606 and method for determining distinct …

In this paper, we focus on mining surprising periodic patterns in a sequence of events. In
many applications, eg, computational biology, an infrequent pattern is still considered very …

Data mining on large data warehouses is becoming increasingly important. In support of this
trend, we consider a spectrum of architectural alternatives for coupling mining with database …

The manipulation of databases is an integral part of a world which is becoming increasingly
and pervasively information-focused. This book puts forward a suggestion to advocate …

The integration of data mining with traditional database systems is key to making it
convenient, easy to deploy in real applications, and to growing its user base. We describe …

This paper presents a sequential pattern mining algorithm that allows product and quality
engineers to extract hidden knowledge from a large automotive warranty database. The …