Search Results - (( developing affecting connection algorithm ) OR ( java application mining algorithm ))

Direct approach for mining association rules from structured XML data by Abazeed, Ashraf Riad

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Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection by Saputra , Dhany, Rambli, Dayang R.A., Foong, Oi Mean

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Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

“…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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Mining Sequential Patterns Using I-PrefixSpan by Dhany , Saputra, Rambli Dayang, R.A., Foong, Oi Mean

“…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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A web-based implementation of k-means algorithms by Lee, Quan

“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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Mining Sequential Patterns using I-PrefixSpan by Saputra , Dhany, Dayang R.A. Rambli, Foong, Oi Mean

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Node placement optimization using extended virtual force and cuckoo search algorithm in wireless sensor network by Puteri Azwa, Ahmad

“…The performance of Extended Virtual Force-Based Algorithm (EVFA) and Cuckoo Search (CS) algorithm are evaluated and EVFA shows the improvement of coverage area and exhibits a guaranteed connectivity compared to CS algorithm. …”
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Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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Ant colony optimization algorithm for dynamic scheduling of jobs in computational grid by Ku-Mahamud, Ku Ruhana, Ramli, Razamin, Yusof, Yuhanis, Mohamed Din, Aniza, Mahmuddin, Massudi

“…In computational grid, job scheduling is one of the main factors affecting grid computing performance. Job scheduling problem is classified as an NP-hard problem.Such a problem can be solved only by using approximate algorithms such as heuristic and meta-heuristic algorithms.Among different optimization algorithms for job scheduling, ant colony system algorithm is a popular meta-heuristic algorithm which has the ability to solve different types of NP-hard problems.However, ant colony system algorithm has a deficiency in its heuristic function which affects the algorithm behavior in terms of finding the shortest connection between edges.This research focuses on a new heuristic function where information about recent ants’ discoveries has been considered.The new heuristic function has been integrated into the classical ant colony system algorithm.Furthermore, the enhanced algorithm has been implemented to solve the travelling salesman problem as well as in scheduling of jobs in computational grid.A simulator with dynamic environment feature to mimic real life application has been development to validate the proposed enhanced ant colony system algorithm. …”
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Development of automatic pest sampling and detection system for cash crops by Hadi, Mustafa Kareem

“…The process of insect detection and counting is starting with image acquisition, image preprocessing, and morphological operations. Connected components algorithm was implemented for insect detection and counting. …”
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Forecasting of photovoltaic output using hybrid particle swarm optimization-artificial neural network model / Muhamad Faizol Adli Abdullah by Abdullah, Muhamad Faizol Adli

“…Two model have been develop: Classical Artificial Neural Network (ANN) and Particle Swarm Optimization (PSO) for the prediction of total AC power output from a grid connected photovoltaic system. …”
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Modified Data Encryption Standard Algorithm for Textbased Applications by Mohamed Khmag, Asem Ib.

“…The purpose of this thesis is to introduce and demonstrate a new algorithm for Internet and e-mail security. The proposed algorithm was developed based on the combination of symmetric and asymmetric algorithm whereas the length of the key and digital signature was considered. …”
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New approach of cryptography algorithm for e- mail applications by Khmag, Asem, Babiker, Elsadig, Ramli, Abd Rahman

“…The purpose of this paper is to introduce and demonstrate a new algorithm for Internet and e-mail security. The purposed algorithm was developed based on the combination of symmetric and asymmetric algorithm whereas the length of the key and digital signature was considered. …”
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Development Of Semi-Automatic Liver Segmentation Method For Three-Dimensional Computed Tomography Dataset by Chiang, Yi Fan

“…The proposed algorithm can be divided into three stages. The first stage is parameter setup and pre-processing. …”
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Development of Low Cost Heart Rate Monitoring Device and Classification Technique Using Fuzzy Logics Algorithm by Faili, Zahra

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Embedded Meta evolutionary-firefly algorithm-ANN for multi dg planning in distribution system / Siti Rafidah Abdul Rahim by Abdul Rahim, Siti Rafidah

“…In this study, Meta Evolutionary–Firefly Algorithm (EMEFA) was initially developed to expedite the computational time in multi-DG installation with improved accuracy. …”
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Innovative crossover and mutation in a genetic algorithm based approach to a campus bus driver scheduling problem with break consideration and embedded overtime by Ramli, Razamin, Ibrahim, Haslinda, Lim, Tze Shung

“…The unfairness of job distribution and the ineffectiveness of break-time assignment among bus drivers are factors identified as problem issues in the bus driver management in a university campus environment.The issues affect the quality of the bus service which then pointed to the efficiency or inefficiency of the bus driver scheduling system.Thus, this study investigates the problem and constraints connected to bus driver scheduling activities as a case in a campus environment.Therefore, we developed an efficient bus driver scheduling model based on the Genetic Algorithm (GA) approach. …”
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Solar Photovoltaic Maximum Power Point Tracking via Predictive Technique by ‘Ainaa Nur Batrisyia binti Abdul Rahman, -

“…Apart from that, DC-DC boost converter would be the intermediate in developing the algorithm to the system. The extraction of the maximum output power can be achieved through this mechanism. …”
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Ant colony optimization based subset feature selection in speech processing: Constructing graphs with degree sequences by Rajesvary Rajoo R., Salam R.A.

Performance evaluation of vertical handoff in fourth generation (4G) networks model by 'Aini Syuhada, Md Zain, Mahamod, I., Wan Nur Suryani Firuz, Wan Ariffin

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