Clustering has gained widespread use, especially for static data. However, the rapid growth of spatio-temporal data from numerous instruments, such as earth-orbiting satellites, has created a need for spatio-temporal clustering methods to extract and monitor dynamic clusters. Dynamic spatiotemporal clustering faces two major challenges: First, the clusters are dynamic and may change in size, sh...

a r t i c l e i n f o Keywords: Customer response predictive model Knowledge-based marketing RFM Neural networks Decision tree models Logistic regression Decision support techniques and models for marketing decisions are critical to retail success. Among different marketing domains, customer segmentation or profiling is recognized as an important area in research and industry practice. Various ...

We are investigating techniques for producing textual summaries of time series data. Deep reasoning techniques have proven impractical because we lack perfect knowledge about users and their tasks. Data analysis techniques such as segmentation are more attractive, but they have been developed for data mining, not for communication. We examine how segmentation should be modified to make it suita...

Analyzing Resource Behavior Using Process Mining p. 69 Mobile Workforce Scheduling Problem with Multitask-Processes p. 81 Understanding Spaghetti Models with Sequence Clustering for ProM p. 92 Flexible Multi-dimensional Visualization of Process Enactment Data p. 104 Autonomous Optimization of Business Processes p. 116 Activity Mining by Global Trace Segmentation p. 128 A Formal Model for Proces...

Web log mining is a new subfield of data mining research. It aims at discovery of trends and regularities in web users' access patterns. This paper presents a new algorithm for automated segmentation of web users based on their access patterns. The results may lead to an improved organization of the web documents for navigational convenience.

Title of thesis: ROBUST VOICE MINING TECHNIQUES FOR TELEPHONE CONVERSATIONS Sandeep Manocha, Master of Science, 2006 Thesis directed by: Dr. Carol Y. Espy-Wilson Department of Electrical Engineering Voice mining involves speaker detection in a set of multi-speaker files. In published work, training data is used for constructing target speaker models. In this study, a new voice mining scenario w...

(ABSTRACT) With the prevalence of large data stored in the cloud, including unstructured information in the form of text, there is now an increased emphasis on text mining. A broad range of techniques are now used for text mining, including algorithms adapted from machine learning, NLP, computational linguistics, and data mining. Applications are also multi-fold, including classification, clust...