C: Software & Data Engineering

C: Software & Data Engineering (217)

GJCST: C

Banking systems collect huge amounts of data on day to day basis, be it customer information, transaction details, risk profiles, credit card details, credit limit and collateral details, compliance and Anti Money Laundering (AML) related information, trade finance data, SWIFT and telex messages. Thousands of decisions are taken in a bank daily. These decisions include credit decisions, ...
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Authors Sudhakar M, Dr. C. V. K Reddy
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Page No. 11 to 17

Mining regular/frequent itemsets is very important concept in association rule mining which shows association among the variables in huge database. the classical algorithm used for extracting regular itemsets faces two fatal deficiencies .firstly it scans the database multiple times and secondly it generates large number of irregular itemsets hence increases spatial and temporal complext...
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Authors Shalini Dutt, Naveen Choudhary, Dharm Singh
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Page No. 7 to 10

Use of Image processing technique is increasing day by day in all fields and including the agriculture to classify fruits. Shape, color and texture are the image features which help in classification of fruits.This paper proposes an algorithm for fruits classification based on the shape, color and texture. For shape based classification of fruit area, perimeter, major axis length and min...
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Authors Bhanu Pratap, Navneet Agarwal, Sunil Joshi, Suriti Gupta
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Page No. 1 to 6

The main aim of any software development organizations is to finish the project within acceptable or customary schedule and budget. Software schedule overrun is one of a question that needs more concentration. Schedule overrun may affect the whole project success like cost, quality and increases risks. Schedule overrun can be reason of project failure. In today’s competi...
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Authors Atul Kumar, Dalwinder Singh Salaria, Dr. R.C.Gangwar
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Page No. 21 to 28

In today’s world, project management is a rapidly developing area. The various models and frameworks available to implement a project vary according to the nature of the project. However, not all of them are applicable to all types of projects. This paper describes a project management framework, PRICM, which is a combination of CMMI, PRINCE2 and PMBOK. The framework int...
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Authors Nida Waheed, Athar Mohsin, Dr. Sarmad Sadik
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Page No. 13 to 19

Here we present a technique which construct the topology for heterogeneous SoC, (Application Specific NoC) such that total Dynamic communication energy is optimized. The topology is certain to satisfy the constraints of node degree as well the link length. We first layout the topology by finding the shortest path between traffic characteristics with the branch and bound optimization tech...
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Authors Kalpana Jain,Naveen Choudhary, Dharm Singh
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Page No. 7 to 11

Feature Selection is a process of selecting a subset of relevant features from a huge dataset that satisfy method dependent criteria and thus minimize the cardinality and ensure that the accuracy and precision is not affected ,hence approximating the original class distribution of data from a given set of selected features. Feature selection and feature extraction are the two problems th...
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Authors Ashima Gawar, Prerna Mahajan
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Page No. 1 to 5

The subject of missing values in databases and how to handle them has received very little attention in the statistics and data mining literature1, 2, 3 and even less, if any at all, in the marketing literature. The usual attitude of practitioners is ‘we’ll just have to ignore records with missing values’. On the other hand, a few very adva...
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Authors Atai Winkler
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Page No. 41 to 48

In recent years a new type of experiments are changing the way that biologists and other specialists analyze many problems. These are called high throughput experiments and the main difference with those that were performed some years ago is mainly in the quantity of the data obtained from them. Thanks to the technology known generically as microarrays, it is possible to study nowadays i...
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Authors Prof G V Padma Raju, Dr Srinivasa Rao Peri, Dr Chandra Sekhar Vasamsetty
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Page No. 23 to 39

Health care domain systems globally face lots of difficulties because of the high amount of risk factors of heart diseases in peoples (WHO, 2013). To reduce risk, improved knowledge based expert systems played an important role and has a contribution towards the development of the healthcare system for cardiovascular disease. To make use of benefits of knowledge based system, it is neces...
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Authors Kantesh Kumar Oad, Xu DeZhi
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Page No. 17 to 22