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Integration Of Big Data And Cloud Computing To Detect Black Money Check Rotation With Range Aggregate Queries
2016
International Journal Of Engineering And Computer Science
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These massive amounts of data are called as a big data. Range-aggregate queries are to apply a certain aggregate function on all tuples within given query ranges. ...
When a range-aggregate query request arrives, Fast RAQ obtains the result directly by summarizing local estimates from all partitions & Collective Results are provided. ...
OUR CONTRIBUTIONS In this paper, we propose FastRAQ-a new approximate answering approach that acquires accurate estimations quickly for range-aggregate queries in big data environments. ...
doi:10.18535/ijecs/v5i6.23
fatcat:zntsgpanubhvtbaebi36ekyc6i
A time efficient and accurate retrieval of range aggregate queries using fuzzy clustering means (FCM) approach
2020
International Journal of Electrical and Computer Engineering (IJECE)
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Massive growth in the big data makes difficult to analyse and retrieve the useful information from the set of available data's. ...
Improvements: This methodology leads to an efficient retrieval process in terms of user query within less time and more accuracy.</p> ...
It is a challenging task in big data environment to quickly acquire the result for rangeaggregate queries. ...
doi:10.11591/ijece.v10i1.pp415-420
fatcat:ywpkeodldvg5bewpeyidewtsam
Web image re-ranking using query specific in cloud computing
2018
International Journal of Engineering & Technology
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Question answering (QA) allows all users to get information in enhanced technique. In this project we suggest a system for inspiring textual answer with appropriate media data. ...
Any user who is unaware of data can get the information promptly. Our approach is to deal with the complex questions in an effective way. ...
Fast Range aggregate queries A new estimated reasonable approach that produces accurate estimations rapidly for range-aggregate query in big data environments is known to be the Fast RAQ which is our proposed ...
doi:10.14419/ijet.v7i2.21.12458
fatcat:g7ufhrtqnndijghx425bzcqfee
Recent advances in autonomic provisioning of big data applications on clouds
2015
IEEE Transactions on Cloud Computing
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Yun et al. propose FastRAQ-a fast approach to range-aggregate queries in big data environments. ...
In large cloud computing environments, existing range-aggregate queries are insufficient to quickly provide accurate results in big data environments. ...
doi:10.1109/tcc.2015.2437231
fatcat:w7xiaqzhs5eg7hd3fubpnneury
Coming Together of Big Data and Cloud Computing : A Review
2020
International Journal of Scientific Research in Computer Science Engineering and Information Technology
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The data sets in Big Data are too bulky or extensive, as a result classical data handling application software are not competent enough to administer them. ...
Big Data demands high-powered, robust, reliable, fault-tolerant tools and techniques in order to make it convenient to process, analyse and uproot new insights from Big Data. ...
In order to deal with the complexity of Big Data, Fast Range Aggregate Query (FastRAQ) is proposed that provides high speed estimated results for Range-aggregate queries in Big Data world. ...
doi:10.32628/cseit206613
fatcat:4xk42hnfffekriax53bd7ihbwy
POST STRATIFICATION SAMPLING AND HORVITZ THOMPSON ESTIMATOR FOR RANGE AGGREGATE QUERIES IN BIG DATA ENVIRONMENTS
IJRCS-International Journal of Research in Computer Science
unpublished
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Fast Range Aggregate Queries (FastRAQ) approach is used to process the range aggregate queries that consist of aggregate function on all tuples within the query ranges. ...
Big Data is a collection of large datasets and handling of data is challenging in this environment. ...
A fast approach to range aggregate queries is introduced to overcome the problems in big data environments. ...
fatcat:sx2uxlip5va3nfteg6tdvb77rq
Integration of big data & cloud computing to detect Black Money Rotation with Range Aggregate Queries
2016
International Journal of Advanced Engineering and Recent Technology
unpublished
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Existing approaches to range-aggregate queries are insufficient to quickly provide accurate results in big data environments. ...
This Project deploy Big data for Banking Domain to detect Black money Rotation with Range Aggregate queries. ...
It is a challenging problem to quickly obtain range-aggregate queries results in big data environments. ...
fatcat:2hb2mvvzwfhqlh5fla2c2eewcy
Cloud and Big Data Electronic Age: A Review
2020
International Journal of Computer Applications
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The data sets in Big Data are too bulky or extensive, as a result classical data handling application software are not competent enough to administer them. ...
Big Data demands high-powered, robust, reliable, fault-tolerant tools and techniques in order to make it convenient to process, analyse and uproot new insights from Big Data. ...
"FastRAQ" is proposed that provides high speed estimated results for Range-aggregate queries in Big data world practical swarm optimization(PSO) algorithm with certain classifier algorithms Naive Bayes ...
doi:10.5120/ijca2020920941
fatcat:i52gux6kirhz5kochzqz4m762y
Black Money Check: Integration of Big Data & Cloud Computing To Detect Black Money Rotation with Range-Aggregate Queries
2016
unpublished
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Existing approaches to range-aggregate queries are insufficient to quickly provide accurate results in big data environments. ...
It is a challenging problem to quickly obtain range-aggregate queries results in big data environments. ...
It is a challenging problem to quickly obtain range-aggregate queries results in big data environments. ...
fatcat:wwsywxosczaalkgzxytx5oajtu
Big Data Analysis using Partition Technique
unpublished
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Analyzing a Big data is a challenging task because of its characteristics and presence of data in large amount. For large scale data analysis hadoop technology provides a key role. ...
This Histogram is generating according to the specified column by user in interface. Histogram gives an effective result according to requested query and data set coming online. ...
LITERACHURE SERVEY Xiaochun Yun [1] proposed FastRAQ-Big Data query execution in a reach total questions approach. ...
fatcat:n5hzdwjwpngzbene76kq2mx2y4
DISSERTATION LOW-LATENCY, QUERY-DRIVEN ANALYTICS OVER VOLUMINOUS MULTIDIMENSIONAL, SPATIOTEMPORAL DATASETS Submitted by
2017
unpublished
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The algorithms presented in this dissertation were evaluated empirically on real-world geospatial time-series datasets in a production environment, and are broadly applicable across other storage frameworks ...
While challenging in its own right, storing and managing voluminous datasets is only the precursor to a broader field of study: extracting knowledge, insights, and relationships from the underlying datasets ...
FastRAQ [6] considers both the storage and retrieval aspects associated with range-aggregate queries. ...
fatcat:e4fnorkahjfnpau6oetr6lqd3i