Many B2B firms have widely accepted AI-based chatbots to provide human-like service
interaction at different customer touchpoints in recent years. One of the objectives behind …

The clustering of web search results–or web document clustering–has become a very
interesting research area among academic and scientific communities involved in …

Clustering is a powerful unsupervised tool for sentiment analysis from text. However, the
clustering results may be affected by any step of the clustering process, such as data pre …

Today's widespread e-commerce applications pose a new challenge to information search
services. They must extract a useful small set of search or recommendation results from a …

This paper investigates a genetic programming (GP) approach aimed at the multi-objective
design of hierarchical consensus functions for clustering ensembles. By this means, data …

Small data set problems have been widely considered in many fields, where increasing the
prediction ability is the most important goal. This study considers the data structure to identify …

With incessantly growing amount of information published over Web pages, the World Wide
Web (WWW) has become prolific in the field of data mining research. The heterogeneous …

Users typically subscribe to an Internet access service on the basis of a specific download
speed, but the actual service may differ. Several projects are active collecting internet …

Clustering is absolutely useful information to explore data structures and has been
employed in many places. It organizes a set of objects into similar groups called clusters …

Investigations of online transaction data often face the problem that entries for identical
products cannot be identified as such. There is, for example, typically no unique product …