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Given a database of spatial trajectories reporting the movement of a set of objects in a time frame, the problem is to discover the groups of objects that stay in close proximity within a geographical area for a significant time. To deal with the problem, techniques for the discovery of collective patterns, e.g. the meeting pattern, have been proposed. Such techniques, however, impose stringent constraints...
Spatiotemporal event sequences (STESs) are the ordered series of event types whose evolving region-based instances frequently follow each other in time and are located closeby. Previous studies on STES mining require significance and prevalence thresholds for the discovery, which is usually unknown to domain experts. As the quality of the discovered STESs is of great importance to the domain experts...
In the paper the problems of modeling and investigating the behavior of complex socio-economic systems are considered. Authors are deeply concerned about decision-making support issues in the case of evaluation for such complex socio-economic systems. To solve these problems, the totality of the development goals of the object and the priorities of these goals are determined, then the indicators are...
A time series discord is a subsequence that is maximally different to all the rest subsequences of a longer time series. Classic discord discovery has been used for detecting anomalous or interesting pattern, which usually represents the most unusual subsequences within a time series. However, an anomalous or interesting pattern may happen twice or more times so that any instance of this pattern is...
Users nowadays are normally involved in multiple (usually more than two) online social networks simultaneously to enjoy more social network services. Some of the networks that users are involved in can share common structures either due to the analogous network construction purposes or because of the similar social network features. However, the social network datasets available in research are usually...
Software reuse is one of the major goals in software engineering. Frameworks promote the reuse of not only individual building blocks, but also of system design. However, framework instantiation requires a substantial understanding effort. High quality documentation is essential to minimize this effort. However, in most cases, appropriate documentation does not exist or is not updated. Our hypothesis...
In recent times a lot of work has been carried out in the field of reversible data hiding (RDH) to prevent the secret data from theft, illegal copying and unlawful reproduction. In RDH the cover image will be recovered after extracting the secret data which was embedded in that image. Finding the best location to hide the secret data is an important task so that it will conceal the existence of the...
This paper proposes a novel fusion method for summarization of surveillance videos based on extracted key positions of spotted objects in observed area. Accumulated energy of object is calculated by analyzing its motion pattern for key position extraction. The method allows to summarize long videos into a single index frame. Experimental results demonstrate its effectiveness.
Widespread using of microblogs leads to have tremendous user generated data available which may characterize the social behavior and relationship of users. Beside the chance to extract some valuable information from the huge amount of data, there are a lot of non-trivial, task specific issue have to be solved to get real value. Detecting and characterizing events, defining users and their relationships,...
The enormous amount of internet causes huge amount of data to be stored and processed which contains structured and semi structured formats. Due to extreme size of semi structured document, results of a particular query may be vast which leads to retrieving interpretable knowledge a tedious process. The query-answering system makes it achievable to make queries and retrieve results for XML documents...
Consensus clustering has emerged as an important elaboration of classical clustering problem that improves quality and robustness in clustering by optimally combining the results of different clustering process. In this paper we propose a new method of arriving at a consensus clustering. We assign confidence score to each partition in the ensemble and compute weighted co-association for each pair...
Discovering patterns in a sequence is an important aspect of data mining. One popular choice of such patterns are episodes, patterns in sequential data describing events that often occur in the vicinity of each other. Episodes also enforce in which order events are allowed to occur. In this work we introduce a technique for discovering closed episodes. Adopting existing approaches for discovering...
In this paper, through by using the AHP (Analytic Hierarchy Process) method's basic theory analysis in online-teaching platform, analyzing ability of students' self-learning, and establishing the evaluation index system, according to expert criteria derived the value of influence factors. With it calculated every level index's weight by using the square root method, and implements the weight by given...
SAX is the representative time series representation method. SAX used the PAA technique to reduce the dimension of time series. But PAA technique has the demerit that cannot represent various movement shapes of time series exactly in lower dimensional space, since its smoothing effect distorts the dynamic characteristic of time series. Therefore, this paper suggests new representation method of time...
Quantitative assessment of motor abilities in stroke survivors undergoing rehabilitation can be a valuable feedback to guide the rehabilitation process. The Functional Ability Scale (FAS) part of Wolf Motor Function Test (WMFT) is used to evaluate movement quality during performance of a set of functional motor tasks. In this paper, we show that information collected using body worn sensors such as...
To improve the quality and timeliness of TV program recommendations, a recommendation system that uses life log data such as browsing histories on WEB, locations visited, operation history of consumer electronics, and personal scheduler on PC is proposed. A subjective experiment shows that life log data is effective in improving the quality of program recommendations.
Web services are self-describing, platform independent applications that can be accessed over the Internet. Web services enable us to dynamically find, bind and consume the needed functionality. Semantic Web services are being developed with the vision of automating this process and to facilitate interoperable machine to machine interaction with no/minimal human intervention. Semantic descriptions...
This work presents an empirical property-based model to describe Web-based vulnerability. We define a web application using a new descriptive model with pre-condition, behavior, entity and communication property sets. The vulnerable property relationship graph (VPRG) defines a vulnerability as vulnerable properties in application with relations to other properties in cause- and consequence-relationships...
This paper presents an information system security evaluation model referring to Common criteria (CC). Analytic Hierarchy Process (AHP) and Grey Relational Analytic Process (GRAP) are applied to this model which combines the qualitative evaluation with the quantitative decision. AHP is used to obtain the indices' weights with respect to the final goal of the security evaluation. GRAP is adapted to...
This paper extends the framework of power indices and proposes a notion of coalition power indices to evaluate influence of each coalition in simple games. A coalition power index is defined as a map that assigns a real number to each pair of a simple game and a coalition in the game. The blockability index is then defined as an example of coalition power indices based on the blockability relations...
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