due to the rapid growth of data mining technology, obtaining private data on users through this technology becomes easier. association rules mining is one of the data mining techniques to extract useful patterns in the form of association rules. one of the main problems in applying this technique on databases is the disclosure of sensitive data by endangering security and privacy. hiding the as...

In this work, we represent complex video activities as one large activity graph and propose a constraint based graph mining technique to discover a partonomy of classes of subgraphs corresponding to event classes. Events are defined as subgraphs of the activity graph that represent what we regard as interesting interactions, that is, where all objects are actively engaged and are characterized ...

The aim of this paper was to contribute to the elaboration of the Environmental Stress Hypothesis framework by testing eight hypotheses addressing the direct impact of gross motor coordination problems in elementary-school on selected physical, behavioral and psychosocial outcomes in adolescence. Results are based on a longitudinal sample of 940 participants who were (i) recruited as part of a ...

Activity concentration of the radionuclides presented in liquid effluents has been evaluated in IFIN-HH laboratories. Gamma-ray spectrometry analyses have been performed for liquid and residue samples, and gross beta activity has been evaluated only for residue samples. Co, Cs, Eu, Eu and Ag radionuclides have been found with a higher concentration in residue samples. Taking into account previo...

Analyzing Resource Behavior Using Process Mining p. 69 Mobile Workforce Scheduling Problem with Multitask-Processes p. 81 Understanding Spaghetti Models with Sequence Clustering for ProM p. 92 Flexible Multi-dimensional Visualization of Process Enactment Data p. 104 Autonomous Optimization of Business Processes p. 116 Activity Mining by Global Trace Segmentation p. 128 A Formal Model for Proces...

Mining frequent subgraphs is a basic activity that plays an important role in mining graph data. In this paper an algorithm is proposed to find frequent subgraphs in a single large graph that has applications such as protein interactions, social networks, web interactions. One of the key operations required by any frequent subgraph discovery algorithm is to perform graph isomorphism. The propos...

Process mining techniques have proven to be a valuable tool for analyzing the execution of business processes. They rely on logs that identify events at an activity level, i.e., most process mining techniques assume that the information system explicitly supports the notion of activities/tasks. This is often not the case and only low-level events are being supported and logged. For example, use...

The results of research on the application method measurement gross alpha-, beta-activity in water using liquid scintillation counter (LSC) Quantulus 1220 are presented. Basic procedures preparation and spectrometric aqueous samples were studied performed. detection efficiency beta-particles depending quenching optimum beta-radiation separation parameter for used determined. Testing validation ...

Current enterprises spend much effort in obtaining precise models of their software engineering processes in order to improve the process capability of their organization and to move one step forward in the CMM. The manual design of process models, however, is complicated, time-consuming, error-prone and the results are rapidly becoming out-dated; capabilities of humans in detecting discrepanci...