C: Software & Data Engineering (217)
GJCST: C
eLearning Opportunities & Prospects in Higher Education Institutions of Khyber Pakhtunkhwa, Pakistan
Published In: GJCST Part: C: Software & Data Engineering Volume: 12 Issue: 15
Both opportunities and prospects are sometimes used interchangeably however, in this paper, opportunity refers to the ‘availability of eLearning resources and service’ while prospects denote ‘futuristic expectations about the role of information and communication technologies (ICTs) in higher education institutions (HEIs). The empirical findin...
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Authors Dr. Ghulam Muhammad Kundi,Allah NawazRead Journal Click Here
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Page No. 29 to 37
Information System Development and Use Practices in Khyber Pakhtoon Khwa (K.P.K) Pakistan
Published In: GJCST Part: C: Software & Data Engineering Volume: 12 Issue: 15
There is no doubt in the reality that Information Technology (IT) is revolutionizing organizations on unprecedented proportions thereby stimulating others to adopt it but despite this fact research indicates that a large number of information system development projects are failing to achieve their objectives in toto. Thus, there are partial and total failure stories of IT projects. Furt...
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Authors Dr. Ghulam Muhammad Kundi, Dr. Allah NawazRead Journal Click Here
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Page No. 1 to 16
Encapsulation of Soft Computing Approaches within Itemset Mining – A Survey
Published In: GJCST Part: C: Software & Data Engineering Volume: 12 Issue: 15
Data Mining discovers patterns and trends by extracting knowledge from large databases. Soft Computing techniques such as fuzzy logic, neural networks, genetic algorithms, rough sets, etc. aims to reveal the tolerance for imprecision and uncertainty for achieving tractability, robustness and low-cost solutions. Fuzzy Logic and Rough sets are suitable for handling different types of uncer...
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Authors Dr. Jyothi Pillai, O.P.VyasRead Journal Click Here
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Page No. 17 to 27
Virtual Construction Simulator
Published In: GJCST Part: C: Software & Data Engineering Volume: 12 Issue: 14
In the construction sector, computer simulation has been extensively incorporated to support complex decisions including automation of several different processes and also to design the novel machines or buildings. The changes inhabited in the work zone configurations are reflected in the animations as the work progresses. This also provides an opportunity to the construction workers, as...
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Authors Ankur Gupta, Surbhi SetiaRead Journal Click Here
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Page No. 25 to 34
Agile Software Development: A Case Study of Web Application
Published In: GJCST Part: C: Software & Data Engineering Volume: 12 Issue: 14
Agile methodology is an approach used for the development of a project which helps to respond to the unpredictability of building software through incremental, iterative work cadences. These methodologies are used to deal with the situations where the waterfall model fails. The biggest drawback of waterfall model is that it assumes that every requirement of the project can be identified ...
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Authors Mr. D. T. T. Vijaya Kumar, Ms. M. Sowmya VaniRead Journal Click Here
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Page No. 19 to 23
Efficient Algorithm to Determine whether a given Graph is Hamiltonian or Not with All Possible Paths
Published In: GJCST Part: C: Software & Data Engineering Volume: 12 Issue: 14
Given a Graph G (V, E), We Consider the problem of deciding whether G is Hamiltonian, that is- whether or Not there is a simple cycle in E spanning all vertices in V. [1] However to Verify that the given cycle is Hamiltonian by checking whether it is permutation of the vertices of V and whether each of the consecutives edges along the cycle actually exists in the Graph. This Verification...
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Authors Narendra Pratap Singh, Ramu Agrawal, Indra Kumar PaliwalRead Journal Click Here
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Page No. 11 to 17
Bayesian Classifiers Programmed In SQL Using PCA
Published In: GJCST Part: C: Software & Data Engineering Volume: 12 Issue: 13
The Bayesian classifier is a fundamental classification technique. We also consider different concepts regarding Dimensionality Reduction techniques for retrieving lossless data. In this paper, we proposed a new architecture for pre-processing the data. Here we improved our Bayesian classifier to produce more accurate models with skewed distributions, data sets with missing information, ...
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Authors Dr. K.Venkat Nagarjuna,P.V Subba ReddyRead Journal Click Here
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Page No. 61 to 66
An Approach to Email Classification Using Bayesian Theorem
Published In: GJCST Part: C: Software & Data Engineering Volume: 12 Issue: 13
Email Classifiers based on Bayesian theorem have been very effective in Spam filtering due to their strong categorization ability and high precision. This paper proposes an algorithm for email classification based on Bayesian theorem. The purpose is to automatically classify mails into predefined categories. The algorithm assigns an incoming mail to its appropriate category by checking i...
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Authors Dr. Denil Vira, Pradeep Raja, Shidharth GadaRead Journal Click Here
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Page No. 57 to 60
Impact of Mediatedrelations As Confounding Factor on Cohesion and Coupling Metrics: For Measuring Fault Proneness in OO Software Quality Assessment
Published In: GJCST Part: C: Software & Data Engineering Volume: 12 Issue: 13
Mediated class relations and method calls as a confounding factor on coupling and cohesion metrics to assess the fault proneness of object oriented software is evaluated and proposed new cohesion and coupling metrics labeled as mediated cohesion (MCH) and mediated coupling (MCO) proposed. These measures differ from the majority of established metrics in two respects: they reflect the deg...
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Authors Amjan.Shaik, Dr.C.R.K.Reddy, Dr. A.DamodaramRead Journal Click Here
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Page No. 49 to 55
System Design Principles – Reuse:Online Attendance System
Published In: GJCST Part: C: Software & Data Engineering Volume: 12 Issue: 13
Software engineering is an engineering approach for software development. In order to develop large software several phases has to be followed by the developer to achieve good quality software; cost effectively. System Design is the most important activity in software development which reflects reusability. System Design specifies what a new or modified system is going to do. To achieve ...
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Authors Dr. CH.V.M.K.Hari, K S V Krishna Srikanth, N S S S Girish KumarRead Journal Click Here
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Page No. 33 to 38
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Requirement Implementation and Defect Removal Across Component Versions: A Simulation Based Approach
Published In: GJCST Part: C: Software & Data Engineering Volume: 12 Issue: 13
Competition in component market and short time to market the software components forces the organization to develop and launch the components in an iterative manner. Components are launched in various versions. All gathered requirements cannot be implemented in initial version. So requirements need to be prioritized and implemented in subsequent versions. Similarly defects in one version...
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Authors Dr. P K Suri, Sandeep KumarRead Journal Click Here
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Page No. 39 to 47
Performanace of Improved Minimum Spanning Tree Based on Clustering Technique
Published In: GJCST Part: C: Software & Data Engineering Volume: 12 Issue: 13
Clustering technique is one of the most important and basic tool for data mining. Cluster algorithms have the ability to detect clusters with irregular boundaries, minimum spanning tree-based clustering algorithms have been widely used in practice. In such clustering algorithms, the search for nearest objects in the construction of minimum spanning trees is the main source of computation...
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Authors Dr. P.Sampurnima, J Srinivas, HarikrishnaRead Journal Click Here
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Page No. 27 to 32
Multidimensional Analysis Data To Create A Decision Support System Dedicated To The University Environment
Published In: GJCST Part: C: Software & Data Engineering Volume: 12 Issue: 13
Our objective is to make proposals for the design of a SIS SID-quality and meet the needs of different stakeholders of the university. This is where we join (which is poorly modeled by the concept of data marts in the current tools of the market), namely the modeling of data resources. Often the documents are deposited on the information system of an organization without classification, ...
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Authors Dr. Latifa. Oubedda, Brahim. Erraha, Mohamed. KhalfaouiRead Journal Click Here
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Page No. 21 to 26
An Effcient Algorithm for Mining Association RulesIn Massive Datasets
Published In: GJCST Part: C: Software & Data Engineering Volume: 12 Issue: 13
Data mining, also known as Knowledge Discovery in Databases (KDD) is one of the most important and interesting research areas in 21st century. Frequent pattern discovery is one of the important techniques in data mining. The application includes Medicine, Telecommunications and World Wide Web. Nowadays frequent pattern discovery research focuses on finding co-occurrence relationships bet...
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Authors Dr. D. Gunaseelan, P. UmaRead Journal Click Here
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Page No. 15 to 20
