Fuzzy c-means (FCM) algorithm is an important clustering method in pattern recognition,
while the fuzziness parameter, m, in FCM algorithm is a key parameter that can significantly …

Abstract Machine Learning (ML) and Data Mining (DM) build tools intended to help users
solve data‐related problems that are infeasible for “unaugmented” humans. Tools need …

Abstract Application Programming Interfaces (APIs) facilitate pragmatic reuse and improve
the productivity of software development. An API usage pattern documents a set of method …

Objective: Panic disorder (PD) is associated with significant personal, social, and economic
costs. However, little is known about specific interpersonal dysfunctions that characterize the …

Currently people are aware of the risk related to pollution exposure. Thus odor annoyances
are considered a warning about the possible presence of toxic volatile compounds. Malodor …

Extracting information about emerging events in large study areas through spatiotemporal
and textual analysis of geotagged tweets provides the possibility of monitoring the current …

Determining the players' playing styles and bringing the right players together are very
important for winning in basketball. This study aimed to group basketball players into similar …

Typologies of IPV and parenting practices in mothers who experienced police-reported IPV
remain surprisingly unexplored, in addition to how those typologies are linked with children's …

This paper deals with a major challenge in clustering that is optimal model selection. It
presents new efficient clustering quality indexes relying on feature maximization, which is an …

Recently, dedicated web portals and social networks for the automatization of the
recruitment processes, have emerged with the expansion of the Internet, leading to a wide …