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Data mining aims at extraction of previously unidentified information from large databases. It can be viewed as an automated application of algorithms to discover hidden patterns and to extract knowledge from data. Online Analytical Processing (OLAP) systems, on the other hand, allow exploring and querying huge datasets in interactive way. These OLAP systems are the predominant front-end tools used...
In medical qualitative research, medical researchers analyze historical patient data to verify known relationships and to discover unknown relationships among medical attributes. All the existing algorithms to solve this problem use measures which are asymmetric measure, so only one direction of the rule (P -> Q or Q->P) is taken into account. However, medical researchers are interested to find...
Conventional positive association rules are the patterns that occur frequently together. These patterns represent what decisions are routinely made based on a set of facts. Irregular association rules are the patterns that represent what decisions are rarely made based on the same set of facts. Many domains like Healthcare, Banking etc need the irregular rule to improve their system. In this paper,...
Nowadays, using web and Internet as a world wide information system faces us with so many data. In this direction, the necessity of accessing some tools for data processing in web level which helps the man intelligently to transform these data into useful knowledge seems so important. Clustering the web pages is one of these techniques. In this paper, a new algorithm has been represented to cluster...
In a set of access control policies, incompleteness is the existence of situations for which no policy applies. Some of these situations can be exploited by attackers, to obtain unintended access or to compromise integrity. Such cases can be difficult to foresee, since typical policy sets consist of thousands of rules. In this paper, we adopt data classification techniques widely used in the machine...
An e-Government portal is responsible to provide news, information and services to citizens, merchants and tourists in a reliable way. Previously, we proposed a Web Monitoring System (WMS) that monitors the performance of a web portal in realtime. Web portal structure is complex to analyze though it is important to discover useful patterns, evaluate performance, locate anomalies and identify problems...
The area of knowledge management (KM) has been addressed with a considerable amount of research in order to develop concepts and technologies for the retrieval of information and knowledge out of a set of heterogeneous data sources. Especially when we deal with files which contain unstructured information, i.e. documents, it is still a huge challenge to classify them automatically into certain domain-dependant...
Business Intelligence (BI) capitalized on data-mining and analytics techniques for discovering trends and reacting to events with quick decisions. We argued that a new breed of data-mining, namely stream-mining where continuous data streams arrive into the system and get mined very quickly, stimulates the design of a new real-time BI architecture. In the past, stream-mining (especially in algorithmic...
In this paper, we attempt to get better insight on how Internet usage behaviors of female students in university can affect on their different academic activities also compare usage patterns of different departments' students with their teachers' patterns. In addition, we attempt to find similarities and dissimilarities of usage patterns of students on various branches and finding relationships between...
The concern about understanding the effects of climate change on the environment, such as the decline of pollinators found in nature, the need to support researchers to run experiments efficiently and to share those results, makes it necessary to study and develop virtual laboratories through the web, in order to gain greater insight on the behavior of bees, which is the main pollinator of plants...
Most companies have their data stored electronically. The appropriate processing of this data can quickly identify issues leading to process improvement and cost reduction. However, the manipulation of the data stored in the companies' repositories is not trivial for decision support. In this paper we propose the use of Excel spreadsheets for the detection of parameters that may cause the plastic...
Traditional clustering methods were developed to analyse complete data sets. Faults during the data collection, data transfer or data cleaning often lead to missing values in data so that common clustering methods can not be used for the data analysis. Therefore, in these cases clustering methods which can handle missing values in data are of great use. In this paper we discuss different approaches...
Text based pictures called text art are often used in Web pages, email text and so on. They enrich expression in text data, but they can be noise for handling the text data. For example, they can be obstacle for text-to-speech software and natural language processing. Text art extraction methods, which detects the area of text art in a given text data, help to solve such problems. Previously proposed...
The mining of sequential patterns has been studied for several years, however, to our best knowledge, no study has considered the mining of sequential association rules despite such rules also providing valuable knowledge about many real applications. The sequential association rule represent that a set of items usually occur after a specific order sequence. In this paper, the concept of sequential...
Information and Communication Technologies (ICT) have revolutionized the world by facilitating remote learning and education, far distanced social connection, online employment opportunities and marketing products and services online. These and many more benefits leveraged the opportunities for governments to provide integrated services across their internal departments and to citizens. This paper...
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