C: Software & Data Engineering (217)
GJCST: C
Analysis of Data Mining Classification with Decision Tree Technique
Published In: GJCST Part: C: Software & Data Engineering Volume: 13 Issue: 13 The diversity and applicability of data mining are increasing day to day so need to extract hidden patterns from massive data. The paper states the problem of attribute bias. Decision tree technique based on information of attribute is biased toward multi value attributes which have more but insignificant information content. Attributes that have additional values can be lessimportant fo...
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Authors Dharm Singh, Naveen Choudhary, Jully SamotaRead Journal Click Here
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Page No. 1 to 5
Concurrent Access Algorithms for Different Data Structures: A Research Review
Published In: GJCST Part: C: Software & Data Engineering Volume: 14 Issue: 3 Algorithms for concurrent data structure have gained attention in recent years as multi-core processors have become ubiquitous. Several features of shared-memory multiprocessors make concurrent data structures significantly more difficult to design and to verify as correct than their sequential counterparts. The primary source of this additional difficulty is concurrency. This paper prov...
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Authors Ms. Ranjeet Kaur, Dr. Pushpa Rani SuriRead Journal Click Here
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Page No. 1 to 9
Is Advanced Statistical Computing Technology a Clue in Applied Medicine? A Study using Data Mining as a Predictor Technology in Gastroenterology & Bariatric Surgery; Novel El Banna Operations
Published In: GJCST Part: C: Software & Data Engineering Volume: 13 Issue: 12 Advanced computer science is very important in applied medicine, we have several publications regarding use of data mining computing technology in many clinical fields, here we will present to our experience in gastroenterology and surgery using data mining in obesity related gastrointestinal motility disorder;(IBS) and surgical bariatric approaches .Obesity is a chronic disease that is ...
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Authors Abduh Elbannam, Abd Elrazek M. Aly Abd ElrazekRead Journal Click Here
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Page No. 31 to 37
A Parallel Computational Approach for String Matching- A Novel Structure with Omega Model
Published In: GJCST Part: C: Software & Data Engineering Volume: 13 Issue: 12 In r e cent day’s parallel string matching problem catch the attention of so many researchers becauseof the importance in different applications like IRS, Genome sequence, data cleaning etc.,. While it is veryeasily stated and many of the simple algorithms perform very well in practice, numerous works have beenpublished on the subject and research is still very active. I...
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Authors K Butchi Raju, Dr. S. Viswanadha RajuRead Journal Click Here
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Page No. 11 to 29
Automatic Segmentation of Punjabi Speech Signal using Group Delay
Published In: GJCST Part: C: Software & Data Engineering Volume: 13 Issue: 12 Th ispaper describes the concept of automatic segmentation of continuous speech signal. Thelanguage used forsegmentation is the most widely spoken language i.e. Punjabi. Like all other Indianlanguages, Punjabi is a syllabic language, thus syllables are selected as the basic unit of segmentation. Thetraditional way of representing the speech signal is in termsof features derived from shor...
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Authors Anupriya Sharma, Amanpreet KaurRead Journal Click Here
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Page No. 7 to 10
An Aprori Algorithm in Distributed Data Mining System
Published In: GJCST Part: C: Software & Data Engineering Volume: 13 Issue: 12 Many existing data mining (DM) tasks can be proficient effectively only in a distributed condition. The ground of distributed data mining (DDM) has therefore gained growing weightage in the preceding decades. The Apriori algorithm (AA) has appeared as one of the greatest Association Rule mining (ARM) algorithms. Ii also provides the foundation algorithm in majority of parallel algorithms...
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Authors Dr C.Sunil KumarRead Journal Click Here
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Page No. 1 to 5
TPA Ensuring Data Integrity in Cloud Environment
Published In: GJCST Part: C: Software & Data Engineering Volume: 13 Issue: 13 Cloud computing is an internet based computing where virtual shared servers provide software, infrastructure, platform and other resources to customers on a pay-as-you-use basis. In one of the services offered by cloud viz. Storage as a Service, users outsource their data to cloud without having direct possession or control on it. Storage of large data in cloud reduces costs and maintena...
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Authors Jaspreet Kaur, Jasmeet SinghRead Journal Click Here
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Page No. 7 to 11
Enhanced Novel Sorting Algorithm
Published In: GJCST Part: C: Software & Data Engineering Volume: 13 Issue: 11 In computer science and mathematics; we can formulate a procedure for sorting unordered array or a file. Such procedure is always governed by an algorithm; which is called as Sorting Algorithm. Sorting is generally understood to be the process of rearranging a given set of objects in a specific order. The purpose of sorting is to facilitate the later search for members of the sorted set....
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Authors R.SrinivasRead Journal Click Here
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Page No. 29 to 31
Performance Analysis of Improved Component based Software Reliability Model
Published In: GJCST Part: C: Software & Data Engineering Volume: 13 Issue: 11 Software reliability engineering techniques focus on development and maintenance of software systems. This paper presents a improved component model. The model is used to estimate the reliability of software systems and the usage ration of each component. A component impact analysis which helps in focusing of testing is presented .The proposed method exhibits considerable improvement whe...
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Authors K.Venkata Subba Reddy, Dr. B. Raveendra BabuRead Journal Click Here
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Page No. 25 to 27
Achieving Flexible Multipath Routing through DAG’s
Published In: GJCST Part: C: Software & Data Engineering Volume: 13 Issue: 11 With a specific end goal to realize versatile multipath steering, we present the notion of free regulated non-cyclic charts (IDAG’s) in this paper. Join autonomous (hub free) DAG’s fulfil the property that any way from a source to the root on one DAG’s is connection disjoint (hub disjoint) with any way from the source to the root on the ...
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Authors Macha Prasanth, L. Naresh BabuRead Journal Click Here
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Page No. 19 to 23
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String Matching Problems with Parallel Approaches An Evaluation for the Most Recent Studies
Published In: GJCST Part: C: Software & Data Engineering Volume: 13 Issue: 11 In recent years string matching plays a functional role in many application like information retrieval, gene analysis, pattern recognition, linguistics, bioinformatics etc. For understanding the functional requirements of string matching algorithms, we surveyed the real time parallel string matching patterns to handle the current trends. Primarily, in this paper, we focus on present deve...
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Authors Chinta Someswara Rao, K Butchi Raju, Dr. S. Viswanadha RajuRead Journal Click Here
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Page No. 9 to 18
On the M/M/c/N Call Center Queue Modeling and Analysis
Published In: GJCST Part: C: Software & Data Engineering Volume: 13 Issue: 10 The M/M/c/c model is the most widely applied queueing model in the mathematical analysis of call centers. The M/M/c/c model is also referred to as the Erlang Loss System. The Erlang loss model does not take into consideration system attributes such as blocking and busy signals, balking and reneging, retrials and returns. Although, the Erlang loss model is analytically tractable, it is no...
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Authors Nwonye ChukwunosoRead Journal Click Here
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Page No. 29 to 46
An On-Chip Delay Measurement Technique for Small-Delay Defect Detection using Signature Registers
Published In: GJCST Part: C: Software & Data Engineering Volume: 13 Issue: 10 This paper presents a delay measurement technique using signature analysis, and a scan design for the proposed delay measurement technique to detect small-delay defects. The proposed measurement technique measures the delay of the explicitly sensitized paths with the resolution of the on-chip variable clock Generator. The proposed scan design realizes complete on-chip delay measurement i...
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Authors Rajeshwari Soma, Zulekha Tabassum, S.PrathapRead Journal Click Here
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Page No. 21 to 28
Feature Selection Algorithm for High Dimensional Data using Fuzzy Logic
Published In: GJCST Part: C: Software & Data Engineering Volume: 13 Issue: 10 Feature subset selection is an effective way for reducing dimensionality, removing irrelevant data, increasing learning accuracy and improving results comprehensibility. This process improved by cluster based FAST Algorithm and Fuzzy Logic. FAST Algorithm can be used to Identify and removing the irrelevant data set. This algorithm process implements using two different steps that is grap...
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Authors T.Jaga Priya Vathana, C.Saravanabhavan, Dr. J.VellingiriRead Journal Click Here
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Page No. 47 to 56