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Cognitive Skill Analysis for Students through Problem Solving Based on Data Mining Techniques

Procedia computer science 2015年 47卷 62-75页

作者： M. Mayilvaganan D. Kalpanadevi Associate Professor Department of Computer Science PSG College Arts and Science Coimbatore India PhD Scholar Department of Computer Science PSG College Arts and Science Coimbatore India

Aim of this paper to discover the knowledge in effort to identify some of most accumulated information. The problem solving schema such as logical reasoning, Numerical ability and personality task questions are framed by the category of cognitive skills which is analyzed by predicting method in data mining techniques. In this paper focuses data mining techniques to evaluate the student skills based on problem solving resources which can be analysed by Naïve Bayes Classification, FP tree Growth association and Kmeans (kernel) clustering techniques, experimented in rapid miner.

关键词： Naïve Bayes classification Algorithm FP Tree Growth Algorithm K-means (Kernal) clustering techniques Rapid Miner

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Study on online community user motif using web usage mining

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Journal of Physics: Conference Series 2016年第1期710卷

作者： Meera Alphy Ajay Sharma PhD Scholar Department of Computer Science and Engineering SRM University Haryana India Assistant Professor Department of Computer Science and Engineering SRM University Haryana India

The Web usage mining is the application of data mining, which is used to extract useful information from the online community. The World Wide Web contains at least 4.73 billion pages according to Indexed Web and it contains at least 228.52 million pages according Dutch Indexed web on 6th august 2015, Thursday. It's difficult to get needed data from these billions of web pages in World Wide Web. Here is the importance of web usage mining. Personalizing the search engine helps the web user to identify the most used data in an easy way. It reduces the time consumption; automatic site search and automatic restore the useful sites. This study represents the old techniques to latest techniques used in pattern discovery and analysis in web usage mining from 1996 to 2015. Analyzing user motif helps in the improvement of business, e-commerce, personalisation and improvement of websites.

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An Enhanced Ant Colony Based Approach to Optimize the Usage of Critical Node in Wireless Sensor Networks

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Procedia computer science 2015年 47卷 452-459页

作者： M. Umadevi M. Devapriya PhD Scholar PG & Research Department of Computer Science Government Arts College Coimbatore-18 India Assistant Professor PG & Research Department of Computer Science Government Arts College Coimbatore-18 India

The issue of energy constrained and non-renewable energy of sensor nodes has made the node weaker as a critical challenge in wireless sensor networks. The workload of nodes may varies depends on position and mobility of each involved nodes. In mobile environment, the unreachable information, packet drops and link failure influence for the requirement of new protocol. The protocol needs to monitor the network which aims at topological changes and workload of each node. This paper we have considered the problem of determining the reachability of node in the network stimulate into the enhancement of its transmission. So, we propose an Enhanced Ant Colony method (EAC) for such critical node in mobile WSNs by considering mobility as a key metric. It optimizes the routing paths, providing an effective reliable data path transmission for acquiring reliable communications in the case of critical node. The main goal is to maintain the maximum lifetime of network, during data transmission in an efficient manner. This paper contributes the implementation of this work and makes a comparison of its performance with AODV routing protocol based on packet delivery ratio, throughput, jitter, delay and energy level.

关键词： WSN Routing Active node Pheromone Dense network

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Measuring Intentions among Employees toward the Use of a Balanced Scorecard and Information System: A Conceptual Approach Using the Theory of Planned Behavior and the Technology Acceptance Model

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Procedia Economics and Finance 2015年 26卷 1146-1151页

作者： Hussein Al Jardali Firas Abdallah Kamel Barbar PhD Student Doctoral School of Law Political Administrative and Economic Sciences Lebanon PhD in Computer Science Instructor at the Lebanese University Saida Lebanon Professor member of the scientific council Doctoral School of Law Political Administrative and Economic Sciences Lebanon

In 1991 Icek Ajzen has demonstrated that the behavior of every human being is subject to his intentions toward any specific behavior. Recently, the study of intentions as a direct construct to predict behavior has been prevalent. Moreover, many researchers in psychology are increasingly interested in studying intentions to explain planned behaviors. However, remarkably, many researchers in various fields in business and management are using these theories to explain and interpret managerial dilemmas. The aim of this paper is to draw a theoretical framework to Lebanese researchers who are trying to measure and enhance the performance of public sector organizations, by combining the theory of planned behavior and the technology acceptance model. We assume that these intentions model will help in predicting the intentions of Lebanese university employees to use and implement a balanced scorecard and an information system.

关键词： Planned behavior Technology Acceptance Model balanced scorecard Information System Lebanese university Organizational Performance.

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Bridging Higher Education and Market Dynamics in a Business Intelligence Framework

Bridging Higher Education and Market Dynamics in a Business ...

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International Conference on Developments in eSystems Engineering (DESE)

作者： Izzeldin Elhassan Fanny Klett Computer Science Dept. PhD program Sudan University of Science and Technology Khartoum Sudan German Workforce ADL Partnership Laboratory Germany

ISBN: (纸本)9781509018628

The expansion of urbanization and demographic changes defines not only economic demands but makes governments increasingly experience a serious force toward a sustainable development, which causes a need for a qualified and retaining competitive workforce. In view of this trend, governments and businesses start considering technology as vital enabler to solve the rising urbanization issues and improve the living and working environments according to a set of priorities. Simultaneously, competency and skills development are seen as the critical issue for the workforce and the workplaces. Accordingly, the complex interrelationship between strategic management, human capital management, and the overall quality management in an educational as well as enterprise setting move closer to the focus of research. This paper discusses an emerging area of research, which explores the utilization of both, advanced technologies in terms of business intelligence and analytic techniques in a multicomponent architecture and a sustainable competency-based human capital strategy. The novel approach targets at an alignment of one of the most important higher education outputs, namely the human capital, with market needs and thus, maximizing the benefits of higher education in achieving sustainable economic development.

关键词： Education Organizations Economics Market research Data mining Decision making

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Predictive efficacy of a new association football league format in Polish Ekstraklasa 2

Predictive efficacy of a new association football league for...

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2nd Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2015

作者： Lasek, Jan Gagolewski, Marek Interdisciplinary PhD Studies Program Institute of Computer Science Polish Academy of Sciences Jana Kazimierza 5 Warsaw01-248 Poland Systems Research Institute Polish Academy of Sciences Newelska 6 Warsaw01-447 Poland Faculty of Mathematics and Information Science Warsaw University of Technology Koszykowa 75 Warsaw00-662 Poland

In this study we investigate the recently introduced competition format for the top association football division in Poland (similar to one used in, e.g., Belgium and Kazakhstan). We compare it to the double round-robin tournament which is the most prevalent league for-mat among European leagues. In a simulation study we show that the new league format has better ability to determine the strongest competitor as the winner of a league as well as it yields higher correlation with theoretical latent teams' strength parameters in the model.

关键词： Routers

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Dynamic load balancing methods for resource optimization in cloud computing environment

Dynamic load balancing methods for resource optimization in ...

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IEEE India Conference (INDICON)

作者： Ashalatha R Jayashree Agarkhed PhD Scholar P.D.A College of Engineering Kalaburagi India Department of Computer Science & Engineering P.D.A College of Engineering Kalaburagi India

Cloud computing is a latest expertise in information technology field in today's era. It allows online allocation of dynamic resources over internet through pay per use concept. Dynamic load balancing methods are generally used for distributing the workloads to different virtual machines evenly in cloud to avoid overload criteria. Optimized load balancers have to be used for smoother performance of work in cloud environment. The dynamic load balancers give high user satisfaction and maximum resource utilization ratio and hence achieve high performance and greater resource utilization of system. Dynamic allocation of applications makes the sessions to be transferred from one site to another as and when needed. This paper mainly focuses on various dynamic load balancing methods used for optimized resource management in cloud.

关键词： Load management Cloud computing Servers Resource management Heuristic algorithms Dynamic scheduling Optimization

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A novel statistical model for arterial blood pressure signals

A novel statistical model for arterial blood pressure signal...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Alexander Holland Shadnaz Asgari Edwards Lifesciences Irvine CA 92614 and a PhD student at California State University Long Beach CA Shadnaz Asgari is with Faculty of Computer Engineering & Computer Science California State University Long Beach CA

This paper introduces a novel arterial blood pressure (ABP) signal model that generates statistically accurate synthetic signals with known characteristics. Using parameter identification from real ABP signals to form base parameter templates, our model applies stochastic processes to modulate cardiac cycle period and shape. A real-time control component modulates model parameters between cycle boundaries to emulate properties of real cardiovascular signals, such as arrhythmia, ectopic beats, resonances in the heart-rate variability spectrum, and respiratory cycle modulation of ABP signal amplitude. We present several examples to illustrate the capability of the proposed model.

关键词： Fourier series Heart rate variability Pregnancy Frequency modulation Biological system modeling Stochastic processes Shape

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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROscience 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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The effect of node selfishness on the performance of WSN cluster-based routing algorithms

The effect of node selfishness on the performance of WSN clu...

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AFRICON Conference

作者： Ketema Adere Gemeda Gabriele Gianini Mulugeta Libsie IT PhD Program Addis Ababa University Ethiopia Dipartimento di Informatica Universitàdegli Studi di Milano Italy Department of Computer Science Addis Ababa University Ethiopia

In Wireless Sensor Networks (WSNs), energy efficiency is among the most important factors since the lifetime of an unattended node is limited by its battery lifetime. In infrastructure-less WSNs, in order to use their resources efficiently, nodes can be organized hierarchically. In this case, long range communication is entrusted to a subset of nodes, the Cluster Heads (CHs): each CH acts as a gateway between the local nodes in its cluster and the other CHs in the network. When in this role, a node must stand a heavier traffic and consume more resources: fairness dictates that the role has to be taken in turn by each node in an area that fits the task. However, a selfish node may adopt several strategies to save its energy: it can make itself unavailable for the role of CH, or, when in that role, it can avoid relaying packets. In this work, we study the impact of selfish nodes on the performance of the cluster based algorithm LEACH. By taking into consideration several Quality of Service metrics, we quantify the extent of performance degradation as a function of the percentage of selfish nodes. We show that, when the percentage of selfish nodes is 75%, only 37% of packets reach the base station, network lifetime reduces to 40% of rounds and packet retransmission attempts is close to 63%.

关键词： Wireless sensor networks Clustering algorithms Routing Algorithm design and analysis Energy efficiency Base stations Protocols

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