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1
Spatial Clustering Algorithm for Time Series Rainfall Data Using X-Means Data Splitting
Published 2017“…Therefore, a clustering algorithm by introducing data transformation using X-means data splitting is proposed to investigate the spatial homogeneity of time series rainfall data. …”
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2
Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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3
Evaluation of outlier filtering algorithms for accurate measurement of travel time reliability incorporating lane-splitting situations / Obada M. A. Asqool
Published 2022“…Therefore, this study aims to investigate the best algorithm for data filtration and how to use it to obtain accurate data for measuring TTR. …”
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4
Data privacy comparison using advanced encryption standard (AES) and data encryption standard (DES) / Hikma Farah Ali
Published 2019“…Our aim is to safely to transfer the file for using the AES algorithm. Proposed algorithm has done by analysing the different time taken for both AES and DES , experiment was done by three different file sizes and also file types, such as text, image and voice to test the encryption and decryption time taken on existing algorithm DES and proposed algorithm, in conclusion, all the results of our propose algorithm shows AES takes lesser time compare to DES. …”
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5
Secure encryption in network using Data Encryption Standard (DES) for high security transmission
Published 2017“…The objective of this paper is to improve the security data by using DES algorithm. The substitution technique is applied with addition a XOR operator to enhance the DES algorithm as proposed. …”
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Student Project -
6
Workflow optimization in distributed computing environment for stream-based data processing model / Saima Gulzar Ahmad
Published 2017“…In the real time stream processing framework the experiments were performed using STORM with a use-case data-intensive workflow (EURExpressII). …”
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7
Boyer-Moore horspool algorithm used in content management system of data fast searching
Published 2017“…However, search specific data from all the above data type that mention, memory, and time consumed is used up. …”
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Implementation of New Improved Round Robin (NIRR) CPU scheduling algorithm using discrete event simulation
Published 2015“…Round Robin scheduling algorithm is the most widely used scheduling algorithm because of its simplicity and fairness. …”
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9
Time series data intelligent clustering algorithm for landslide displacement prediction
Published 2018“…Clustering calculation of time series data set is carried out by using hierarchical clustering algorithm according to bending path. …”
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10
Comparison study of sorting techniques in dynamic data structure
Published 2016“…The execution time for the five sorting algorithms of each group of data elements were computed. …”
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11
Comparison study of sorting techniques in dynamic data structure
Published 2016“…The execution time for the five sorting algorithms of each group of data elements were computed. …”
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12
An efficient parallel clustering algorithm on big data using Spark
Published 2022“…It is 100 times faster than Map Reduce. Here we are proposing a new parallel fuzzy clustering algorithm called "An efficient parallel clustering algorithm on big data using spark" which deals with real-time processing. …”
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Investigation of evolutionary multi-objective algorithms in solving view selection problem / Seyed Hamid Talebian
Published 2013“…Although using materialized views for answering queries reduces the query response time but at the same time it increases the view update time. …”
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14
Encryption selection for WLAN IEEE802.11G
Published 2013“…Meanwhile for encryption algorithms, the data was encrypted using Kryptel, an encryption freeware. …”
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15
AGENT MEETING SCHEDULER
Published 2011“…An agent meeting scheduler prototype then will be developed to prove that the selected algorithm is working properly. Qualitative research method is being used to gather necessary data on agent algorithm and this data will be used to select the suitable algorithm. …”
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Final Year Project -
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Real-time time series error-based data reduction for internet-of-things applications
Published 2018“…There are many time series data reduction methods, ranging from primitive data aggregation such as Rate of Change to sophisticated compression algorithms. …”
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Final Year Project / Dissertation / Thesis -
18
The new efficient and accurate attribute-oriented clustering algorithms for categorical data
Published 2012“…Four real-life data sets obtained from University of California Irvine (UCI) machine learning repository and ten synthetically generated data sets are used to evaluate MGR and IG-ANMI algorithms, and other four algorithms are used to compare with these two algorithms. …”
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19
On density-based data streams clustering algorithms: A survey
Published 2017“…Recently, a lot of density-based clustering algorithms are extended for data streams. The main idea in these algorithms is using density-based methods in the clustering process and at the same time overcoming the constraints, which are put out by data stream’s nature. …”
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Conference or Workshop Item -
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Replica Creation Algorithm for Data Grids
Published 2012“…The new Data Replica Creation Algorithm (DRCM) improves performance of data grid systems by reducing job execution time and making the best use of data grid resources (network bandwidth and storage space). …”
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