Density-Based LLE Algorithm for Network Forensics Data

Data Visualization for Social Network Forensics

With hundreds of millions of users worldwide, forensic data extraction from social networks has become an important research problem. However, forensic data collection is tightly connected to social network operators, which leads to problems related to data completeness and data compatibility. This paper discusses the important data sources and analytical methods for the forensic analysis of so...

Using Snort for Network-Based Forensics

A Genetic Algorithm for Choice-Based Network Revenue Management

In recent years, enriching traditional revenue management models by considering the customer choice behavior has been a main challenge for researchers. The terminology for the airline application is used as representative of the problem. A popular and an efficient model considering these behaviors is choice-based deterministic linear programming (CDLP). This model assumes that each customer bel...

An improved opposition-based Crow Search Algorithm for Data Clustering

Data clustering is an ideal way of working with a huge amount of data and looking for a structure in the dataset. In other words, clustering is the classification of the same data; the similarity among the data in a cluster is maximum and the similarity among the data in the different clusters is minimal. The innovation of this paper is a clustering method based on the Crow Search Algorithm (CS...

A Dynamic K Value Method of Massive Data Reduction Based on Improved LLE Algorithm

For more features massive data sets efficiently reduction problems, to enhance the data uniformity of the near target instance, reduce the errors of represented neighbors, improve the effect of dimension reduction, proposed a dynamic K value method of massive data reduction based on improved LLE algorithm. Utilized the search algorithms based center point, searched an example neighborly, to ens...