DePaul University

About: DePaul University is a education organization based out in Chicago, Illinois, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 5658 authors who have published 11562 publications receiving 295257 citations.

Data mining for web personalization

Abstract: 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. These phases include data collection and pre-processing, pattern discovery and evaluation, and finally applying the discovered knowledge in real-time to mediate between the user and the Web. This view of the personalization process provides added flexibility in leveraging multiple data sources and in effectively using the discovered models in an automatic personalization system. The chapter provides a detailed discussion of a host of activities and techniques used at different stages of this cycle, including the preprocessing and integration of data from multiple sources, as well as pattern discovery techniques that are typically applied to this data. We consider a number of classes of data mining algorithms used particularly forWeb personalization, including techniques based on clustering, association rule discovery, sequential pattern mining, Markov models, and probabilistic mixture and hidden (latent) variable models. Finally, we discuss hybrid data mining frameworks that leverage data from a variety of channels to provide more effective personalization solutions.

Family Business Research: The Evolution of an Academic Field:

Abstract: The establishment of a field of study or a discipline with academic or professional standing requires, among other things, a body of knowledge that expands understanding of that domain. This paper ...

Customer self-service systems: The effects of perceived Web quality with service contents on enjoyment, anxiety, and e-trust

Abstract: Trust (integrity, benevolence, and ability) is the central dimension of e-commerce systems adoption. Based on customer self-service systems and human-computer interaction logics, affective variables are important research issues to fully understand the relationship between information systems development and e-trust. In this paper, the effects of the perceived Web quality with service contents on e-trust, mediated by the website user's affective variables (enjoyment and anxiety), are tested and discussed (n=325). Flow, social contract, social cognitive, resource allocation, and trust theories are discussed in the paper to support the proposed hypotheses. Theoretical and practical implications of these findings are also discussed.

Advancing Multilevel Research Design Capturing the Dynamics of Emergence

Abstract: Multilevel theory and research have advanced organizational science but are limited because the research focus is incomplete. Most quantitative research examines top-down, contextual, cross-level relationships. Emergent phenomena that manifest from the bottom up from the psychological characteristics, processes, and interactions among individuals—although examined qualitatively—have been largely neglected in quantitative research. Emergence is theoretically assumed, examined indirectly, and treated as an inference regarding the construct validity of higher level measures. As a result, quantitative researchers are investigating only one fundamental process of multilevel theory and organizational systems. This article advances more direct, dynamic, and temporally sensitive quantitative research methods designed to unpack emergence as a process. We argue that direct quantitative approaches, largely represented by computational modeling or agent-based simulation, have much to offer with respect to illuminatin...