Search Results - (( generation classifications techniques ) OR ( evolution mining techniques ))*

A review of homogenous ensemble methods on the classification of breast cancer data by Nur Farahaina, Idris, Mohd Arfian, Ismail

“…As evolution happens, ensemble methods are being proposed to achieve better performance in classification. …”
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A review of homogenous ensemble methods on the classification of breast cancer data by Nur Farahaina, Idris, Mohd Arfian, Ismail

“…As evolution happens, ensemble methods are being proposed to achieve better performance in classification. …”
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Classification with degree of importance of attributes for stock market data mining by Khokhar, Rashid Hafeez, Md. Sap, Mohd. Noor

“…Many statistical and data mining techniques have been used to predict time series stock market. …”
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Logic mining method via hybrid discrete hopfield neural network by Guo, Yueling, Mohd Kasihmuddin, Mohd Shareduwan, Zamri, Nur Ezlin, Li, Jia, Romli, Nurul Atiqah, Mansor, Mohd Asyraf, Ruzai, Wan Nur Aqlili

“…The study concludes that the enhanced logic mining technique effectively captures the knowledge of datasets and facilitates transparent decision-making, making it a valuable tool for both researchers and practitioners.…”
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Application of data mining techniques for economic evaluation of air pollution impact and control by Lukman, Iing

“…For that purpose, we use data mining techniques. Data mining techniques applied in this thesis were: 1) Group method of data handling (GMDH), originally from engineering, introducing principles of evolution - inheritance, mutation and selection - for generating a network structure systematically to develop the automatic model, synthesis, and its validation; 2) The weighted least square (WLS) and step wise regression were also applied for some cases; 3) The classification-based association rules were applied. …”
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Data mining in computer auditing / Hiromi Wong, Siew Lan and Valery Fred Lee by Hiromi , Wong, Siew , Lan, Valery, Fred Lee

“…This evolution provokes the emergence of data mining tools, which perform data analysis and extract data patterns. …”
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An enhancement of classification technique based on rough set theory for intrusion detection system application by Noor Suhana, Sulaiman

“…Thus, to deal with huge dataset, data mining technique can be improved by introducing discretization algorithm to increase classification performance. …”
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Global Trends of Educational Data Mining in Online Learning by Chen, Chwen Jen, Teh, Chee Siong, Dexter Sigan, John

“…Educational data mining (EDM) in online learning involves data mining techniques to analyze data from online environments to gain insights into student behavior, performance, and engagement. …”
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Dengue classification system using clonal selection algorithm / Karimah Mohd by Mohd, Karimah

“…The expected end is to automatically generate dengue classification. The evaluation conducted in this project has shown a promising accuracy. …”
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Evaluation of multibeam echosounder backscatter for classifying seafloor sediment using unsupervised and supervised technique at navigational channel / Muhammad Hafizuddin Mohmad N... by Mohmad Nazri, Muhammad Hafizuddin

“…Future work may consider ground truthing samples from the site to refine the classification further, employing techniques such as Random Forest. …”
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A WEB-BASED TOOL FOR TEST BANK QUESTIONS SELECTION BASED ON CLASSIFICATION MODEL by Koh, Kia Hui

“…Therefore, this project aims to develop a web-based question generator tool by using predictive data mining techniques. …”
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Using graph algorithm and classification technique for finding an optimal bus route in time-dependent travel times by Deelertmongkolchai, Satjayod, Chumwatana, Todsanai, Thaiupathump, Choonhapong

“…The proposed technique is able to find a least spent travel time path between two nodes in a bus network with time-dependence.Graph algorithm is used to generate all possible paths to reveal the distances.Classification technique is then used to analysis traffic situation in different period of the time.By analysis traffic situation, date, time, week, month, location are used as a main factor for training process in classification technique.From the experimental studies, the proposed technique is able to show the best route from any given node to the final destination depending on the different period of the time.The proposed technique provides significant benefit for traveler to select the best bus route, which is short distance and fast, among generated routes…”
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An insect classification analysis based on shape features using quality threshold ARTMAP and moment invariant by Shahrul Nizam, Yaakob, Jain, Lakhmi

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A comparative study in classification techniques for unsupervised record linkage model by Ektefa, Mohammadreza, Sidi, Fatimah, Ibrahim, Hamidah, A. Jabar, Marzanah, Memar, Sara

“…Problem statement: Record linkage is a technique which is used to detect and match duplicate records which are generated in data integration process. …”
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Dynamic rule refinement strategy of associative classifier for effective mammographic image classification by Abubacker, Nirase Fathima

“…The existing associative classification techniques that are used in Computer Aided Diagnosis (CADx) have proved their efficiency in mammogram classification. …”
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Krawtchouk Moment Invariant and Gaussian ARTMAP Neural Network: a combination techniques for image classification by Shahrul Nizam, Yaakob, Puteh, Saad

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The evolution of spectral analysis of surface wave method – a review by Mannan Mitu, Sadia Mannan Mitu, Abd. Rahman, Norinah, Mohd Taib, Aizat, Ramli, Ahmad Bukhari, Abang Hasbollah, Dayang Zulaika

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Building classification models from imbalanced fraud detection data / Terence Yong Koon Beh, Swee Chuan Tan and Hwee Theng Yeo by Terence, Yong Koon Beh, Swee, Chuan Tan, Hwee, Theng Yeo

“…We evaluated the models generated from seven classification algorithms with two simple data balancing techniques. …”
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Multiclass classification for chest x-ray images based on lesion location in lung zones by Saad, Mohd Nizam, Muda, Zurina, Sahari, Noraidah, Abd Hamid, Hamzaini

“…Innovation in radiology technology has generated numerous kinds of medical images like the chest X-ray (CXR).This image is used to find common problem in lung like the lesion through scanning process in lung area which is divided into six zones.By classifying the CXR images with common feature like the lesion location, we can ensure efficient image retrieval.Recently, Support Vector Machine (SVM) has turn out to be a well-known method for image classification.While many previous studies have reported the achievement of SVM in classifying images, yet there is still problem with this technique for multiclass classification.Since SVM is a binary classification technique, its ability is limited to classifying features between two classes at one time. …”
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A New Hybrid K-Means Evolving Spiking Neural Network Model Based on Differential Evolution by Abdulrazak Yahya, Saleh, Haza Nuzly, Abdull Hamed, Siti Mariyam, Shamsuddin, Ashraf, Osman Ibrahim

“…Clustering is one of the essential unsupervised learning techniques in Data Mining. In this paper, a new hybrid (K-DESNN) approach to combine differential evolution and K-means evolving spiking neural network model (K-means ESNN) for clustering problems has been proposed. …”
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