Achievement of sustainable privacy preservation is mostly very challenging in a resource
shared computer environment. This challenge demands a dedicated focus on the …

This paper addresses the relationship between land use and mobility patterns. Since each
particular zone directly feeds the global mobility once acting as origin of trips and others as …

This thesis addresses the problem of road intersection safety with regard to a mixed
population of automated vehicles and non-automated road users. The work derives and …

Categorical data clustering is an important area of research today as databases usually
contain categorical data [1]. The current work proposes that the behavior of attributes in …

Categorical data clustering is gaining importance in recent years. Shannon entropy based
similarity and dissimilarity measures are popular for clustering categorical data. However …

Now-a-days, with the massive size of the web it has become hectic as well as time-
consuming for the users to search for the most appropriate page in least time. Prediction of …

Clustering is a partition of data into the groups of similar or dissimilar objects. Clustering is
unsupervised learning technique helps to find out hidden patterns of Data Objects. These …

A halandósági adatok elemzése nagy múltra tekint vissza a matematikai statisztikában.
Több módszer is ismert, melyekkel elemezni vagy tesztelni lehet két vagy több sokaság …

A halandósági adatok elemzése nagy múltra tekint vissza a matematikai statisztikában.
Több módszer is ismert, melyekkel elemezni vagy tesztelni lehet két vagy több sokaság …

As a result of emerging new techniques for scientific way of collecting data, we are able to
accumulate data in large scale pertaining to various fields. One such method of data mining …