Search Results - (( develop banking data algorithm ) OR ( java implication based algorithm ))

Prediction of customer churn for ABC Multistate Bank using machine learning algorithms / Hui Shan Hon ... [et al.] by Hui, Shan Hon, Khai, Wah Khaw, XinYing, Chew, Wai, Peng Wong

“…Customer churn is defined as the tendency of customers to cease doing business with a company in a given period. ABC Multistate Bank faces the challenges to hold clients. The purpose of this study is to apply machine learning algorithms to develop the most effective model for predicting bank customer churn. …”
Get full text
Get full text

The development of an algorithm and a model through image processing and remote sensing techniques for assessing environmental impacts of routine carbon footprint in Peninsular Mal... by Mat Jafri, Mohd. Zubir

Get full text
Get full text

The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

Get full text
Get full text
Get full text

Development of unconstrained handwritten digit extraction, segmentation and recognition on bank cheques using artificial neural network by Francis, Adam

“…This project is about the handwritten numerical strings that were extracted, segmented, and verified for bank cheques. This project has four objectives. The first objective is to make data collection for digitized handwritten courtesy amount on bank cheques. …”
Get full text

Sentiment analysis using clonal selection algorithm for Twitter’s data / Fatimah Mamat by Mamat, Fatimah

“…The sentiment analysis using clonal selection algorithm for twitter’s data system was developed to achieve the main objective which is to classify the twitter’s messages according three sentiments which are positive, negative and neutral. …”
Get full text
Get full text

The Determinant Factors for the Issuance of Central Bank Digital Currency (CBDC) in Malaysia using Machine Learning Framework by Normi Sham Awang, Abu Bakar, Norzariyah, Yahya, Norbik Bashah, Idris, Engku Rabiah Adawiah, Engku Ali, Jasni, Mohamad Zain, Erni Eliana, Khairuddin, Ahmad Firdaus, Zainal Abidin, Murtaj, Sheikh Mohammad Tahsin, Siti Sarah, Maidin

“…These algorithms were chosen for their ability to handle high-dimensional data and provide feature importance scores, which were crucial in identifying the most significant factors. …”
Get full text
Get full text
Get full text

Asset liability management model: The case of selected Islamic banks in Malaysia / Chong Hui Ling by Chong , Hui Ling

“…Five years‟ financial data from 2009 to 2013 were sampled from secondary sources like Thompson Reuters‟ DataStream, the bank‟s financial statements, and other sources such as market yields from Islamic Interbank Money Market website. …”
Get full text
Get full text
Get full text

Clustering Based on Customers’ Behaviour in Accepting Personal Loan using Unsupervised Machine Learning by Lim, Wai Ping, Goh, Ching Pang

“…This research contributes novel insights into the application of clustering algorithms in banking, proposing pragmatic solutions for efficient data analysis and campaign optimization. …”
Get full text
Get full text
Get full text
Get full text

The determinant factors for the issuance of Central Bank Digital Currency (CBDC) in Malaysia using machine learning framework by Awang Abu Bakar, Normi Sham, Yahya, Norzariyah, Idris, Norbik Bashah, Engku Ali, Engku Rabiah Adawiah, Mohamad Zain, Jasni, Khairuddin, Erni Eliana, Zainal Abidin, Ahmad Firdaus, Murtaj, Sheikh Mohammad Tahsin, Maidin, Siti Sarah

“…These algorithms were chosen for their ability to handle high-dimensional data and provide feature importance scores, which were crucial in identifying the most significant factors. …”
Get full text
Get full text
Get full text
Get full text

Classification of credit card holder behavior using K Nearest Neighbor algorithm / Ahmad Faris Rahimi by Rahimi, Ahmad Faris

“…In the implementation phase, Bubble Sort, Euclidean Distance, 10-Fold Cross validation, and K Nearest Neighbor algorithm are developed. This application is using the data from a Taiwan bank which is obtained from the UCI data repository website. …”
Get full text
Get full text

Fuzzy clustering method and evaluation based on multi criteria decision making technique by Sameer, Fadhaa Othman

“…The proposed algorithm is used as a pre-processing method for data followed by Gustafson-Kessel (GK) algorithm to classify credit scoring data. …”
Get full text
Get full text
Get full text

Linear-pso with binary search algorithm for DNA motif discovery / Hazaruddin Harun by Harun, Hazaruddin

“…The Linear-PSO algorithm was the first version of improvement. However due to the longer time required for complete execution of this algorithm, the Binary Search technique was integrated and a new version of the algorithm was developed, namely the Linear-PSO with Binary Search (LPBS) algorithm. …”
Get full text
Get full text

Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Algorithm for Preprocessing Electrocardiosignal for a Wireless Holter Monitoring System by Gerasimova, Yuliya, Sidi, Fatimah, Abdullah, Lili Nurliyana, Ivel, Victor, Moldakhmetov, Sayat

“…This electro cardio signal processing enhances the quality of ECG identification and interpretation. The developed wavelet-based algorithm provides an ECG data compression ratio of about 8:1, ensuring the preservation of diagnostically important signal features. …”
Get full text
Get full text
Get full text

Evaluating Machine Learning Algorithms for Fake Currency Detection by Keerthana, S.N, Chitra, K.

Get full text
Get full text
Get full text
Get full text

Ontology-based metabolic pathway prediction using saccharomyces cerevisiae data from genbank, ecocyc and kegg by Zakaria, Yuslina

“…This proposed approach is implemented and tested using real data of Saccharomyces cerevisiae from GenBank and pathway reference databases from EcoCyc/MetaCyc and KEGG. …”
Get full text
Get full text

Loan default prediction using machine learning algorithms: a systematic literature review 2020 -2023 by Soomro, Anam, Zakariyah, Habeebullah, Aftab, S.M.A., Muflehi, Mohamad, Shah, Asadullah, Meraj, Syeda

“…Additionally, it identifies Kaggle as a crucial source for research datasets, underlining the importance of accessible and comprehensive data in developing effective predictive models. The paper also outlines future research directions, emphasizing the integration of big data analytics, the application of sophisticated ensemble methods, and the potential of deep learning technologies. …”
Get full text
Get full text
Get full text
Get full text
Get full text

Rational drug design using genetic algorithm: case of malaria disease by Al-Safi, Hassen Mohammed, Alshaikhli, Imad Fakhri Taha

“…In the experiment, we used falcipain-2 as our target protein (2GHU.pdb) obtained from the protein data bank and docked with twenty different available anti malaria drugs in order to find the effective and efficient drugs. …”
Get full text
Get full text
Get full text

Machine learning based return prediction for digital financial portfolios by LinXi Shi, Thien Sang Lim, Jin Yan, Pengcheng Qi, Tao Li

“…The machine learning algorithm is introduced to optimize the digital financial portfolio investment return prediction system. …”
Get full text
Get full text
Get full text

Evaluation of lightning location and lightning current wave shape using measured lightning magnetic fields at two stations by Izadi, Mahdi, Ab Kadir, Mohd Zainal Abidin, Hajikhani, Maryam, Gomes, Chandima

“…The proposed method can support different engineering current models and can also be developed for different distances. The proposed method can be helpful for creating lightning location and lightning current data banks as it can estimate the full shape of the current as opposed to the usual methods used previously.…”
Get full text
Get full text