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Continuous training is crucial for creating and maintaining the right skill-profile for the industrial organization's workforce. There is a tremendous variety in the available trainings within an organization: technical, project management, quality, leadership, domain-specific, soft-skills etc. Hence it is important to assist the employee in choosing the best trainings, which perfectly suits her background,...
The Support Vector Machine(SVM) is well known in machine learning and artificial intelligence for its high performance in data classification, regression and forecasting. Usually for large scaled dataset, an incremental training algorithm is applied for tuning or balancing the training cost and the accuracy in SVM applications. This paper presents an improved incremental training approach for large...
Named entity recognition (NER) is the problem of identifying (locating and categorizing) atomic entities in a given text that fall into predefined categories or classes. In this work, we developed a bilingual Arabic-English lexicon of named entities (NE) to improve the performance of Arabic rule-based systems. To reach our goal, we followed different steps starting by the pre-editing of the DBpedia...
Predicting the emergence of an event enables to anticipate and make decisions upstream. For instance, in the employment sector, it becomes necessary to anticipate the emergence of competencies requirements to help job seekers, education and training organization to better match the needs of the job market. Several approaches address the competencies mining with ontologies, we adopt a different point...
Nowadays, information plays a significant role in the enterprise organizations. Sensitive and vital data have a key character in organizing and storing within the database. Traditional mechanisms such as encryption, access control, and authentication cannot provide a high level of confidence. The existence of Intrusion Detection Systems in the Data-Base (DB-IDS) is a necessity because enterprises...
Database management systems containing the most valuable assets of enterprises, i.e., data. Ordinary intrusion detection systems usually deal with network or OS attacks and could not detect database specific attacks. Therefore, the existence of Intrusion Detection Systems in the database is a necessity. In this paper, we propose a type of intrusion detection system for detecting attacks in both database...
Educational data mining is an application of data mining to derive meaningful patterns from educational systems which in turn can be used to improve the learning experience of students. The emphasis of this paper will be to explore educational data mining in the context of Learning Management Systems (LMS). In this paper, we explore the possibilities of using Experience API to extract patterns from...
Although data mining techniques are made tremendous progress, "knowledge-poor" is still a large gap of the current data mining systems. Few researches notice the fact that useful knowledge not only is the final results of an intelligent classification, clustering or prediction algorithm, but also runs through the whole process of data mining in which much potential useful information is...
This paper proposed an intelligent model that is aimed at facilitating key workers select suitable trainees for a training program. The proposed model is initiated because it has been found that many motivational training programs fail to meet their objectives because there is a mismatch between the needs of training programs and the integrity levels of trainees. The proposed model consists of three...
Data mining is a technology in data analysis with rising application in sports. Basketball is one of most popular sports. Due to its dynamics, a large number of events happen during a game. Basketball statisticians have task to note as many of these events as possible, in order to provide their analysis. In this paper, we used data from the First B basketball league for men in Serbia, for seasons...
By using the remote functions of a modern IT service management system infrastructure, it is possible to analyze huge amounts of log file data from complex technical equipment. This enables a service provider to predict failures of connected equipment before they happen. The problem most providers face in this context is finding "a needle in a haystack" - the obtained amount of data turns...
Research consistently indicates that professionals rely heavily on oral information. However, our understanding of orality as a mode to convey information remains limited. One approach to remedying this knowledge gap lies in exploring whether oral information may be approached in a manner consistent with approaches to non-oral information, specifically information in documents. This paper explores...
This study chooses employees' ability, behavior and performance as the segmentation dimensionalities of employee segmentation criteria from the perspective of organization acquire sustainable high performance under dynamic environment contexts. With segmentation model, employees in an organization are divided into eight types which are: Star-type, Melancholic-type, Relationship-type, Cattle-type,...
This paper try to design structure of IT Service system Design and Management of web-based learning platforms. The frame of IT service system is including analysis of users' requirement, IT service management system. IT Service Management System Foundation and IT Service organization.
In this paper, we present extension learning (EL) a system for heuristics learning under non-optimum condition. The purpose of this study is to develop a new model for heuristics learning systems from human-computer cooperative perspective. We have established the theoretical foundation and conceptualization of the constructs for extension learning relationship with sub-optimum causal order, and sketch...
Automatic essay scoring (AES) system is a very important research tool for educational studies. Many studies indicate that current AES systems should be able to analyze semantic characteristics of an essay and include more such features to score essays. This study proposes a novel method which uses the similarity between the paragraphic conceptual connections in different essays to predict the scores...
The evaluation of information system (IS) is a perennial decision problem for businesses as they seek to improve their performance and sustain a competitive advantage. The effective implementation of an IS essentially depends upon how effective individual, organizational, task-related, technological, and environmental factors are integrated to the organizational fabric. An important issue rarely addressed...
This study aims to investigate how accountants as professional intellects working in a public sector accounting organization perceived the importance of knowledge management in their knowledge sharing process within and across the organization. The Accountant General's Department of Malaysia is selected for an indepth study of KM in a public sector accounting organization because it is a knowledge...
Evaluating the performance technology in vocational technology education has affected the progress and development. The quality evaluation system framework of performance technology in vocational technology education indicator is established. Fuzzy evaluation index system is put forward to consider various factors. As to index system, comprehensive fuzzy evaluation model and methods are setup and...
Feature selection is a process to select a subset of original features. It can improve the efficiency and accuracy by removing redundant and irrelevant terms. Feature selection is commonly used in machine learning, and has been wildly applied in many fields. we propose a new feature selection method. This is an integrative hybrid method. It first uses Affinity Propagation and SVM sensitivity analysis...
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