Design and comparative analysis of DSS queries in distributed environment

Sharma, Manik; Singh, Gurvinder; Virk, Rajinder Singh; Singh, Gajendra Pratap

doi:10.1109/icsec.2013.6694756

Cited by 3 publications

(3 citation statements)

References 4 publications

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“…The neural network itself is not an algorithm, rather, it sets a framework for many different machine learning algorithms to work together and process complex data inputs [8]. The past research revealed that various soft computing techniques have been effectively used to solve a wide variety of real-world problems like disease diagnosis [13][14], query optimization [15][16][17], feature selection [18][19], task scheduling [20][21], sentiment analysis [22][23],stock analysis [24] and crop prediction [25][26]which are difficult or time consuming to solve otherwise. Research related to the diagnosis of different human disorders like diabetes, cancer and cardio-problems using soft computing techniques has been witnessed.…”

Section: Soft Computing Techniquesmentioning

confidence: 99%

Future Prospective of Soft Computing Techniques in Psychiatric Disorder Diagnosis

Sharma¹,

Romero²

2018

EAI Endorsed Trans Perv Health Tech

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Section: Soft Computing Techniquesmentioning

confidence: 99%

Future Prospective of Soft Computing Techniques in Psychiatric Disorder Diagnosis

Sharma¹,

Romero²

2018

EAI Endorsed Trans Perv Health Tech

Self Cite

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“…Further the parallel execution of the different sub operations of a DSS query significantly reduces the total cost of system resources. [9] Abhijeet Raipurkar, G.R. Bamnote (2013) focus is given on Query processing in a distributed system requires the transmission of data between computers in a network.…”

Section: IIImentioning

confidence: 99%

“…To deal with this problem, there is a need of develop a heuristic approach to solve the problem. [8] Manik Sharma, et al (2013) focus is on design and analysis of DSS queries. The selected set of DSS queries are simulated by using exhaustive enumerative technique and genetic approach under serial and parallel processing environment.…”

Section: IIImentioning

confidence: 99%

Analysis of Query Using Join and Semi-join

Boparai¹,

Kumar²

2014

International Journal of Advanced Research in Computer and Comm

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Abstract:Database is the collection of files or table and Database Management System is used to manage the overall activities of the database. We have two approaches for storing and managing database namely Centralised Database management system and Distributed Database management system. Query Processing and its optimization is one of the major key areas of Distributed Database Systems. Query optimization is much more difficult in Distributed Database as compared to the Centralised Database System. This literature review paper is based in the query optimization in Distributed Database System. It mainly focused on to analyse the performance and behaviour of the use of semi-joins and joins. Various factors are considered like CPU cost, I/O cost, Total Cost, Response time and Total time etc. Minimizing the amount of data transmission is important to reduce the query processing cost. To minimize this communication cost, the exhaustive enumerative technique has used to bring dynamism in determining the sub operations (join or semi join) to various sites.

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Application‐Based Review of Soft Computational Methods to Enhance Industrial Practices Abetted by the Patent Landscape Analysis

Tamilselvan,

Dhanalakshmi,

Balaji

et al. 2024

WIREs Data Min & Knowl

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Soft computing is a collective methodology that touches all engineering and technology fields owing to its easiness in solving various problems while comparing the conventional methods. Many analytical methods are taken over by this soft computing technique and resolve it accurately and the soft computing has given a paradigm shift. The flexibility in soft computing results in swift knowledge acquisition processing and the information supply renders versatile and affordable technological system. Besides, the accuracy with which the soft computing technique predicts the parameters has transformed the industrial productivity to a whole new level. The interest of this article focuses on versatile applications of SC methods to forecast the technological changes which intend to reorient the progress of various industries, and this is ascertained by a patent landscape analysis. The patent landscape revealed the players who are in the segment consistently and this also provides how this field moves on in the future and who could be a dominant country for a specific technology. Alongside, the accuracy of the soft computing method for a particular practice has also been mentioned indicating the feasibility of the technique. The novel part of this article lies in patent landscape analysis compared with the other data while the other part is the discussion of application of computational techniques to various industrial practices. The progress of various engineering applications integrating them with the patent landscape analysis must be envisaged for a better understanding of the future of all these applications resulting in an improved productivity.

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Design and comparative analysis of DSS queries in distributed environment

Cited by 3 publications

References 4 publications

Future Prospective of Soft Computing Techniques in Psychiatric Disorder Diagnosis

Future Prospective of Soft Computing Techniques in Psychiatric Disorder Diagnosis

Analysis of Query Using Join and Semi-join

Application‐Based Review of Soft Computational Methods to Enhance Industrial Practices Abetted by the Patent Landscape Analysis

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