Browsing Department of Computer Science and Engineering by Author "Fegaras, Leonidas"
Now showing items 1-13 of 13
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A PARALLEL IMPLEMENTATION OF APRIORI ALGORITHM FOR MINING FREQUENT ITEMSETS IN HADOOP MAPREDUCE FRAMEWORK
Neupane, Gokarna; 0000-0003-1256-0454With explosive growth of data in past few years, discovering previously unknown, frequent patterns within the huge transactional data sets has been one of the most challenging and ventured fields in data mining. Apriori ... -
AN MRQL VISUALIZER USING JSON INTEGRATION
Bhawal, Rohit; 0000-0002-0682-7549 (2017-05-08)In today’s world where there is no limit to the amount of data being collected from IOT devices, social media platforms, and other big data applications, there is a need for systems to process them efficiently and effortlessly. ... -
Distributed Data Intensive Computing on Graph
Gupta, Upa; 0000-0002-5383-2076 (2016-10-25)Distributed frameworks, such as MapReduce and Spark, have been developed by industry and research groups to analyze the vast amount of data that is being generated on a daily basis. Many graphs of interest, such as the Web ... -
Efficient XQuery Processing Of Streamed XML Fragments
Ahn, Seo Young (Computer Science & Engineering, 2007-08-23)XStreamCast is a push-based streamed XML query processing system that supports multiple servers and clients. The servers broadcast streamed XML data while the clients register to these servers for a specific service and ... -
An Extensible Self-adapting Dissemination Framework For High-speed Continuous XML Streaming Data
Okorodudu, Anthony E. (Computer Science & Engineering, 2012-07-25)The efficient dissemination of data has become increasingly important with recent advances in technology that provide us immediate access to information at our fingertips. The insatiable demand for data has increased ... -
EXTRACTING CLINICAL EVENT SEQUENCE BY USING ASSOCIATION RULE MINING TO PREDICT CLINICAL EVENTS FROM HEALTH RECORDS
Shrestha, Aashara; 0000-0002-1216-0912 (2021-12-13)Data mining is the process of extracting useful information from large amounts of data. Data mining has been around for a long time, and there are many multiple methods of performing data mining. However, the abundance of ... -
Improving Quality Of Service In XML Data Stream Processing Using Load Shedding
Dash, Ranjan (Computer Science & Engineering, 2012-07-25)In recent years, we have witnessed the emergence of new types of systems that deal with large volumes of streaming data. Examples include nancial data analy- sis on feeds of stock tickers, sensor-based environmental ... -
INTEGRATION OF APACHE MRQL QUERY LANGUAGE WITH APACHE STORM REALTIME COMPUTATIONAL SYSTEM
Paudel, Achyut; 0000-0002-1459-3631 (2016-12-02)The use of real time processing of data has increased in recent years with the increase of data captured by social media platforms, IOT and other big data applications. The processing of data in real time has been an ... -
On The Influence of Spatio-Temporal Analysis on Clustering and Recommendation
Debnath, Madhuri; 0000-0002-1625-8538 (2017-12-04)In this dissertation, we propose efficient frameworks to analyze spatio-temporal data. In the first part of the dissertation, we use a clustering based method to mine useful information from trajectory data. Existing ... -
PERFORMANCE EVALUATION OF MATRIX OPERATIONS ON MAP-REDUCE QUERY LANGUAGE
Ulde, Ahmed Abdul Hameed A (2016-05-12)Non-Negative matrix factorization is well-known complex machine learning algorithm which is also used in collaborative filtering. Collaborative filtering technique is used in recommendation systems and these techniques aim ... -
Searching And Ranking Xml Data In A Distributed Environment
He, Weimin (Computer Science & Engineering, 2009-09-16)Due to the increasing number of independent data providers on the web, there is a growing number of web applications that require searching and querying data sources distributed at different locations over the internet. ... -
Translation of Array-based Loop Programs to Optimized SQL-based Distributed Programs
Noor, Md Hasanuzzaman (2021-12-17)Most programs written to operate on data are usually expressed in terms of array operations in sequential loops. However, these programs do not scale to large amount of data generated by scientific experiments and industrial ... -
Web Application Integration Using Mashups
Hilton, Ronda (Computer Science & Engineering, 2010-03-03)The HTML DOM is the W3C standard data model for HTML documents. A web page may be viewed as a tree structure with data nodes at each level, according to the HTML DOM, to enable web applications to access it dynamically. ...