C: Software & Data Engineering (217)
GJCST: C
A Survey on Clustering Techniques for Multi-Valued Data Sets
Published In: GJCST Part: C: Software & Data Engineering Volume: 16 Issue: 5 The complexity of the attributes in some particular domain is high when compare to the standard domain, the reason for this is its internal variation and the structure .their representation needs more complex data called multi-valued data which is introduced in this paper. Because of this reason it is needed to extend the data examination techniques (for example characterization, discrim...
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Authors Lnc.Prakash K, K.Anuradha, D.VasumathiiRead Journal Click Here
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Page No. 43 to 50
Security in Data Mining- A Comprehensive Survey
Published In: GJCST Part: C: Software & Data Engineering Volume: 16 Issue: 5 Data mining techniques, while allowing the individuals to extract hidden knowledge on one hand, introduce a number of privacy threats on the other hand. In this paper, we study some of these issues along with a detailed discussion on the applications of various data mining techniques for providing security. An efficient classification technique when used properly, would allow an user to ...
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Authors Niranjan A, Nitish A, P Deepa Shenoy, Venugopal K RRead Journal Click Here
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Page No. 51 to 72
Estimation of Missing Attribute Value in Time Series Database in Data Mining
Published In: GJCST Part: C: Software & Data Engineering Volume: 16 Issue: 5 Missing data is a widely recognized problem affecting large database in data mining. The substitution of mean values for missing data is commonly suggested and used in many statistical software packages, however, mean substitution lead to large errors in correlation matrix and therefore degrading the performance of statistical modeling. The problems arises are biasness of result data bas...
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Authors Swati Jain, Kalpana JainRead Journal Click Here
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Page No. 73 to 76
Sentiment Analysis and Opinion Mining from Social Media : A Review
Published In: GJCST Part: C: Software & Data Engineering Volume: 16 Issue: 5 Ubiquitous presence of internet, advent of web 2.0 has made social media tools like blogs, Facebook, Twitter very popular and effective. People interact with each other, share their ideas, opinions, interests and personal information. These user comments are used for finding the sentiments and also add financial, commercial and social values. However, due to the enormous amount of user g...
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Authors Savitha Mathapati, S H Manjula, Venugopal K RRead Journal Click Here
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Page No. 77 to 90
Evaluation of Features Extraction and Classification Techniques for Offline Handwritten Tifinagh Recognition
Published In: GJCST Part: C: Software & Data Engineering Volume: 16 Issue: 5 This paper presents a review on different features extraction and classification methods for off-line handwritten Amazigh characters (called Tifinagh) recognition. The features extraction methods are discussed based on Statistical, Structural, Global transformation and moments.Although a number of techniques are available for feature extraction and classification,but the choice of an exc...
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Authors Mouhcine Rabi, Mustapha Amrouch, Zouhir MahaniRead Journal Click Here
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Page No. 37 to 42
Review of Feature Selection and Optimization Strategies in Opinion Mining
Published In: GJCST Part: C: Software & Data Engineering Volume: 16 Issue: 5 Opinion mining and sentiment analysis methods has become a prerogative models in terms of gaining insights from the huge volume of data that is being generated from vivid sources. There are vivid range of data that is being generated from varied sources. If such veracity and variety of data can be explored in terms of evaluating the opinion mining process, it could help the target groups...
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Authors K.Venkata Rama RaoRead Journal Click Here
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Page No. 21 to 28
The Encryption AlgorithmsGOST28147–89–IDEA8–4 andGOST28147–89–RFWKIDEA8–4
Published In: GJCST Part: C: Software & Data Engineering Volume: 16 Issue: 5 In the paper created a new encryption algorithms GOST28147–89–IDEA8–4 and GOST28147–89–RFWKIDEA8– 4 based on networks IDEA8–4 and RFWKIDEA8–4, with the use the round function of the encryption algorithm GOST 28147–89. The block length of...
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Authors Gulom TuychievRead Journal Click Here
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Page No. 29 to 36
Feature Extraction and Duplicate Detection for Text Mining: A Survey
Published In: GJCST Part: C: Software & Data Engineering Volume: 16 Issue: 5 Text mining, also known as Intelligent Text Analysis is an important research area. It is very difficult to focus on the most appropriate information due to the high dimensionality of data. Feature Extraction is one of the important techniques in data reduction to discover the most important features. Proce- ssing massive amount of data stored in a unstructured form is a challenging task...
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Authors Ramya R S, Venugopal K R, Iyengar S S, Patnaik L MRead Journal Click Here
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Page No. 1 to 20
Wildfire Predictions: Determining Reliable Models using Fused Dataset
Published In: GJCST Part: C: Software & Data Engineering Volume: 16 Issue: 4 Wildfires are a major environmental hazard that causes fatalities greater than structural fire and other disasters. Computerized models have increased the possibilities of predictions that enhanced the firefighting capabilities in U.S. While predictive models are faster and accurate, it is still important to identify the right model for the data type analyzed. The paper aims at understan...
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Authors Hariharan Naganathan, Sudarshan P Seshasayee, Jonghoon Kim, Wai K Chong, Jui-Sheng ChouRead Journal Click Here
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Page No. 35 to 46
Fast Prototyping Networks and using Data Mining Applications
Published In: GJCST Part: C: Software & Data Engineering Volume: 16 Issue: 4 To study different applications of mining for the fast prototyping networks and improvement of search engine ranking, network information retrieval and fast prototyping network environment enhancement. The advantage of the implicit feedback left in the trail of users while navigating through fast prototyping networks. The value of queries to extract interesting rules, patterns and inform...
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Authors Dr. B. Narayana Babu, Mr. Bosco Paul, Mr. TewhasomAregay WelduRead Journal Click Here
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Page No. 29 to 33
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MAGED: Metaheuristic Approach on Gene Expression Data: Predicting the Coronary Artery Disease and the Scope of Unstable Angina and Myocardial Infarction
Published In: GJCST Part: C: Software & Data Engineering Volume: 16 Issue: 4 The Genetic risk prediction strategies found in practice for coronary artery disease are not significant to estimate the scope of adverse cardiovascular events such as unstable angina and myocardial infarction. Hence in regard to this objective, this manuscript contributed a metaheuristic approach to predict coronary artery disease and the scope of unstable angina and myocardial infarcti...
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Authors E.Neelima, M.S.Prasad BabuRead Journal Click Here
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Page No. 21 to 27
Social Media Analytics using Data Mining
Published In: GJCST Part: C: Software & Data Engineering Volume: 16 Issue: 4 There is a rapid increase in the usage of social media in the most recent decade. Getting to social media platforms for example, Twitter, Facebook LinkedIn and Google+ via mediums like web and the web 2.0 has become the most convenient way for users. Individuals are turning out to be more inspired by and depending on such platforms for data, news and thoughts of different clients on vari...
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Authors Hibatullah AlzahraniRead Journal Click Here
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Page No. 17 to 19
Anti-Fraud Schema System for Identification and Prevention of Fraud Behaviors in E-Commerce Services
Published In: GJCST Part: C: Software & Data Engineering Volume: 16 Issue: 4 This study aims to determine the best practices and provide a model of the technical solutions that can effectively and systematically limit fraudulent transactions of online orders in e-commerce services, using the methods of analytical mining and case studies. Based on a process of fraud prevention and detection performed in the e-business Dangdang, Inc., a leading online retailer in C...
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Authors Qinghong Yang, Wei Xing, Xiangquan Hu, Yan Quan LiuRead Journal Click Here
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Page No. 7 to 16
Identity-Based Cryptosystem Based on Tate Pairing
Published In: GJCST Part: C: Software & Data Engineering Volume: 16 Issue: 4 Tate Pairings on Elliptic curve Cryptography are important because they can be used to build efficient Identity-Based Cryptosystems, as well as their implementation essentially determines the efficiency of cryptosystems. In this work, we propose an identity-based encryption based on Tate Pairing on an elliptic curve. The scheme was chosen cipher text security in the random oracle model a...
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Authors Ramesh Ch, K Venugopal Rao, D VasumathiRead Journal Click Here
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Page No. 1 to 5