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Review Paper

RainForest Framework: A Recent Review

Machine learning uses a decision tree to describe data like, from the observation of tuples to tuple’s target value. The decision tree is a type of a classification technique where the target outcome is the class to which the data belongs. Classification problem is among the major data mining problems. Numerous classification algorithms have been launched although there was hardly an algorithm that surpasses all distinct algorithms with regard to standard. RainForest framework deals with the issue of scalability and it has different types of algorithms that work under different types of cases. In this paper, a brief review of Rainforest framework is provided that overcomes the limitations of scalability in the construction of Decision Tree.

Published by: Nikita Sandhu

Author: Nikita Sandhu

Paper ID: V4I3-1844

Paper Status: published

Published: June 12, 2018

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Research Paper

Automatically mining query facet from search results using text mining algorithm

A query facet can be considered as a single word or multiple words which summarize and describe that query. Query facets may provide direct information that users are seeking. The existing algorithms for generating query facet can be used by extracting the frequent list in search results. The coverage of facet item must be limited because the only small number of search results can be used. In order to solve this kind of problem in the proposed system uses the format of the list is more user-friendly. Query facet is analyzing the text query the query facet provides useful knowledge about a query. In existing algorithms are used the coverage of facet item must be limited in order to solve this kind of problem propose an algorithm text mining and use the knowledge base to improve the quality and the coverage of facet item. Text Mining algorithms are used to extract the relevant information from available text.

Published by: Soniya Joy, Neena Joseph

Author: Soniya Joy

Paper ID: V4I3-1775

Paper Status: published

Published: June 12, 2018

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Research Paper

Distributed denial of service: Attacks and its effects

This paper is an overview of the issue of distributed denial of service attack and proposed approaches to manage it. I portray the way of the issue and search for its underlying drivers, additionally showing brief knowledge and recommended approaches for protecting against DDoS. I give attention to both the positive and negative sides of every potential arrangement. Future work recognizes and legitimizes open research issues. In determination, I give a short outline of what has sensibly been accomplished up until this point, and in addition what the key missing segments still are. A distributed denial of service attack is portrayed by an express endeavor by an aggressor to keep authentic clients from utilizing assets. This paper gives better comprehension of the issue.

Published by: Shravan Mantri, Chetna Achar

Author: Shravan Mantri

Paper ID: V4I3-1822

Paper Status: published

Published: June 12, 2018

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Research Paper

Experimental investigation on the process parameter of rapid prototyping technique for the improvement of disposal glass material replace by PLA

This work proposes to characterize the influence of the physical build parameters over the part quality. An L9 orthogonal array was designed with the minimum number of experimental runs with desired parameter settings and also by analysis tools such as ANOVA (analysis of variance). Establishment of experimentally verified correlations between the physical part characteristics and mechanical part characteristics to obtain an optimal process parameter level for the betterment of part quality is obtained. The process model obtained by the empirical relation can be used to determine the strength of the prototype for the given set of parameters that shows the dependency of strength, which is essential for designers and RP machine users. It was concluded that layer thickness has a significant influence on physical and mechanical properties of PLA. The results show that only layer thickness is the most significant factor

Published by: Santosh Kumar Choudhary, Susheel Malviya, Sachin Jain

Author: Santosh Kumar Choudhary

Paper ID: V4I3-1851

Paper Status: published

Published: June 11, 2018

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Review Paper

To study the impact and usage of test parallelization

The number of test cases required to ensure the quality of a software system grows hand in-hand with its complex and henceforth the total test execution time increases proportionally. Traditionally test cases are executed sequentially which takes much time. Thus parallel test execution appeared to be an appealing option to cut over the test execution time .This paper presents our findings on different techniques for test parallelization and its impact with respect to time and test flakiness. Test flakiness is the tests that fail randomly. We have applied the different techniques on a java project containing 623 test cases and observed the effect.Based on the result we have tried to conclude the optimal technique for test parallelization.

Published by: Priya Gupta, Dr. Anup Kumar Keshri

Author: Priya Gupta

Paper ID: V4I3-1484

Paper Status: published

Published: June 11, 2018

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Research Paper

Improvement in production rate by reducing the defects of die casting process by DMAIC approach

Six Sigma’s problem-solving methodology DMAIC has been one of several techniques used to improve quality. The work follows the DMAIC methodology to investigate defects, root causes and provide a solution to reduce/eliminate these defects. The analysis from employing Six Sigma and DMAIC indicated that the metal melting temperature, die temperature and die holding time influenced the number of defective items produced. In particular, the design of experiments (DOE) and two-way analysis of variance (ANOVA) techniques were combined to statistically determine the correlation of the metal melting temperature, die temperature and die holding time with defects as well as to define their optimum values needed to reduce/eliminate the defects. As a result, a reduction of 16.93 % to 10.04 % in the terminal cover and 16.62 % to 8.97 % in the din based cover was achieved, which helped the organisation studied to reduce its defects per million opportunities (DPMO) and thus improve its Sigma level from 2.53 to 2.79 for the terminal cover and 2.55 to 2.85 for the din based cover.

Published by: Ravi, Shyam Kumar Barode, Sachin Jain

Author: Ravi

Paper ID: V4I3-1831

Paper Status: published

Published: June 11, 2018

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