use of appropriate leadership style to improve organizational commitment is among the major duties of managers. in order to achieve this goal, resonant leaders, in harmony with the other members, use a high level of emotional intelligence. the purpose of this study is to identify the resonant leadership's effect on the organizational commitment, with the mediating role of trust in the senior ma...

In this paper we present a new clustering algorithm which extends the traditional batch k-means enabling the introduction of domain knowledge in the form of Must, Cannot, May and May-Not rules between the data points. Besides, we have applied the presented method to the task of avoiding bias in clustering. Evaluation carried out in standard collections showed considerable improvements in effect...

For decades, intelligent tutoring systems researchers have been developing various methods of student modeling. Most of the models, including two of the most popular approaches: Knowledge Tracing model and Performance Factor Analysis, all have similar assumption: the information needed to model the student is the student’s performance. However, there are other sources of information that are no...

Data Mining and Knowledge Discovery aim at the detection of new knowledge in data sets produced by some data generating process. There are (at least) two important problems associated with such data sets: missing values and unknown distributions. This is in particular a problem for clustering algorithms, be it statistical or neuronal. For such purposes a distance metric comparing high dimension...

effective knowledge sharing as one of the basic aspects of knowledge management can be considered as one of the most important successes in changing and complicated contexts of sport organizations. the aim of this study was to study the effects of intrinsic and extrinsic motivations on knowledge sharing in employees of physical education organizations of isfahan. the research method used descri...

Task analysis is a critical first step in understanding a new complex domain. Currently, task analysis is a mostly manual process with weak automation support. This paper introduces the first phase of the SAVVII prototype as a proof-of-concept for early validation of task analysis activities. Early validation is supported by the transference of semantics from data values to data structures. Rou...

one of the most important issues related to knowledge discovery is the field of comment mining. opinion mining is a tool through which the opinions of people who comment about a specific issue can be evaluated in order to achieve some interesting results. this is a subset of data mining. opinion mining can be improved using the data mining algorithms. one of the important parts of opinion minin...