This paper synthesises research on artificial intelligence (AI) in e-commerce and proposes
guidelines on how information systems (IS) research could contribute to this research …

Sequence classification has a broad range of applications such as genomic analysis,
information retrieval, health informatics, finance, and abnormal detection. Different from the …

Outliers are also referred to as abnormalities, discordants, deviants, or anomalies in the data
mining and statistics literature. In most applications, the data is created by one or more …

Information retrieval (IR) has changed considerably in recent years with the expansion of the
World Wide Web and the advent of modern and inexpensive graphical user interfaces and …

Liu has written a comprehensive text on Web mining, which consists of two parts. The first
part covers the data mining and machine learning foundations, where all the essential …

The web provides an unprecedented opportunity to evaluate ideas quickly using controlled
experiments, also called randomized experiments, A/B tests (and their generalizations), split …

In this chapter we present an overview of Web personalization process viewed as an
application of data mining requiring support for all the phases of a typical data mining cycle …

Workload characterization is a well-established discipline that plays a key role in many
performance engineering studies. The large-scale social behavior inherent in the …

This paper is a survey of recent work in the field of web usage mining for the benefitof
research on the personalization of Web-based information services. The essence of …

Web Usage Mining is that area of Web Mining which deals with the extraction of interesting
knowledge from logging information produced by Web servers. In this paper we present a …