Abstract Chronic Disease Prediction plays a pivotal role in healthcare informatics. It is crucial
to diagnose the disease at an early stage. This paper presents a survey on the utilization of …

This paper explores the applications of data mining techniques in accounting and proposes
an organizing framework for these applications. A large body of literature reported on …

In the very near future, transportation will go through a transitional period that will shape the
industry beyond recognition. Smart vehicles have played a significant role in the …

Research on self-regulated learning (SRL) in hypermedia-learning environments is a
growing area of interest, and prior knowledge can influence how students interact with these …

Clustering or data grouping is a key initial procedure in image processing. In present
scenario the size of database of companies has increased dramatically, these databases …

To investigate the factors predicting severity of bicycle crashes in Italy, we used an
observational study of official statistics. We applied two of the most widely used data mining …

Spatial data clustering is one of the important data mining techniques for extracting
knowledge from large amount of spatial data collected in various applications, such as …

We present a new approach to the problem of finding communities: a community is a subset
of actors who induce a locally optimal subgraph with respect to a density function defined on …

Information security is extremely critical issues for every organization to protect information
from unauthorized access. Intrusion detection system has one of the important roles to …

Mutation testing exploits artificial faults to measure the adequacy of test suites and guide
their improvement. It has become an extremely popular testing technique as evidenced by …