The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Analyzing Customer Behavior Using Online Analytical Mining (OLAM)
Abstract
Online Analytical Mining (OLAM) is an architecture integrating data mining into OLAP. With this integration, data mining algorithms can be performed with OLAP abilities. OLAM enables users to choose a particular portion of data and analyze them with data mining models. Previous studies have provided examples of OLAM applications with the motivation to improve technical performance. This chapter reviews the capabilities of OLAM and discusses the well-known concept encompassing the analysis of customer behavior. The underlying motivation of this chapter is to present the opportunities for the development of OLAM to support the customer behavior analysis. Three main directions of the advancement in OLAM are proposed for future research.
Related Content
|
Albérico Travassos Rosário, Joana Carmo Dias.
© 2024.
35 pages.
|
|
Elena García-y-García, Francisco Rejón-Guardia, Laura Berenice Sánchez-Baltasar.
© 2024.
35 pages.
|
|
Nino Tchanturia, Rusudan Dalakishvili.
© 2024.
20 pages.
|
|
Žiga Domadenik, Tina Tomažič.
© 2024.
21 pages.
|
|
Loredana Kotinski.
© 2024.
14 pages.
|
|
Margarida Silva, Nataliia Buchko, Natalia Parashchenko, Titanilla Marta Szaszi, Yevheniia Tovstyk.
© 2024.
15 pages.
|
|
A. N. Raghavendra, G. Vijayakumar, Sanjeev Kumar Thalari.
© 2024.
16 pages.
|
|
|