Social data mining is an interesting phenomenon which colligates different sources of social data to extract information. This information can be used in relationship prediction, decision making, pattern recognition, social mapping, responsibility distribution and many other applications. This paper presents a systematical data mining architecture to mine intellectual knowledge from social data...

Security incident management is one of the critical areas that offers valuable information to security experts, but still lacks much development. Currently, several security incident database models have been proposed and used. The discrepancies of such databases entail that worldwide incident information is stored in different formats and places and, so, do not provide any means for Computer S...

Risk assessors attempting to use probabilistic approaches to describe uncertainty often find themselves in a data-sparse situation: available data are only partially relevant to the parameter of interest, so one needs to adjust empirical distributions, use explicit judgmental distributions, or collect new data. In determining whether or not to collect additional data, whether by measurement or ...

in the future, competitive advantages will be given to organisations that can extract valuable information from massive data and make better decisions. in most cases, this data comes from multiple sources. therefore, the challenge is to aggregate them into a common framework in order to make them meaningful and useful.this paper will first review the most important multi-criteria decision analy...

With the rapid development in technology organizations are able collect and store huge amount of business relevant information. Today the companies wish to convert such huge data into quality information. Organizations are looking forward for decision support system where the data collected from heterogeneous sources can be converted into digitized form and stored in a permanent storage space f...

Many kinds of microevolutionary studies require data on multiple polymorphisms in multiple populations. Increasingly, and especially for human populations, multiple research groups collect relevant data and those data are dispersed widely in the literature. ALFRED has been designed to hold data from many sources and make them available over the web. Data are assembled from multiple sources, cur...

With the current explosion of data, retrieving and integrating information from various sources is a critical problem. Work in multidatabase systems has begun to address this problem, but it has primarily focused on methods for communicating between databases and requires signi cant e ort for each new database added to the system. This paper describes a more general approach that exploits a sem...