Search Results - (( developing effective customization algorithm ) OR ( java implication tree algorithm ))

Customer profiling using K-means clustering method / Nik Asyraniasna Nik Mohd Asri by Nik Mohd Asri, Nik Asyraniasna

“…The end goal is to provide organizations with an effective tool that helps them better understand their customer segments, enabling them to develop more individualized and successful communication strategies in the context of a competitive market.…”
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E-Grocery application with Geolocation and YOLO Algorithm / Ikhwan Nurhakim Zuzalli and Raihana Md Saidi by Zuzalli, Ikhwan Nurhakim, Md Saidi, Raihana

“…The objective of this project is to develop an E-Grocery application using geolocation and YOLO algorithm. …”
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Ant system with heuristics for capacitated vehicle routing problem by Tan, Wen Fang

“…The ASH algorithm is basically applied with its probabilistic decision rule and pheromone feedback to construct the sequences of customers to be visited in the CVRP solution. …”
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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

“…The purpose of this study is to apply machine learning algorithms to develop the most effective model for predicting bank customer churn. …”
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Enhanced hierarchical dynamic bandwidth allocation algorithm with excess bandwidth and SLA techniques for upstream ethernet PON by Sadon S.Kh., Radzi N.A.M., Din N.M., Mustafa I.S., Al-Mansoori M.H., Yaacob M.

“…The algorithms provide dynamic bandwidth allocation and separate the burden of queue management fairly between the customer and the network. …”

Vader lexicon and support vector machine algorithm to detect customer sentiment orientation by Vivine Nurcahyawati, ., Zuriani, Mustaffa

“…With the rapid development of social media, customers can express emotions, thoughts, and opinions about services or products that may not be easily conveyed in the real world. …”
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A Hybrid Adaptive Leadership GWO Optimization with Category Gradient Boosting on Decision Trees Algorithm for Credit Risk Control Classification by Suihai, Chen, Chih How, Bong, Po Chan, Chiu

“…It can effectively enhance the predictive accuracy and execution speed of the CatBoost algorithm model. …”
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Calculating customer experience management index for telecommunication service using genetic algorithm based weighted attributes by Khan, Nusratullah, Akram, M. Usman, Shah, Asadullah, Ahmed Khan, Shoab

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Diamond price prediction using random forest algorithm / Nur Amirah Mohd Azmi by Mohd Azmi, Nur Amirah

“…Traditional methods struggle to model these complexities effectively, necessitating adoption of advanced algorithms to improve accuracy. …”
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Intent-IQ: customer’s reviews intent recognition using random forest algorithm by Mazlan, Nur Farahnisrin, Ibrahim Teo, Noor Hasimah

“…Customer review is a written evaluation provided by the consumer. …”
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Implementation of case-based reasoning in help desk system by Tee, Shih Min

“…The aim of this research is to design and develop a Help Desk System used by tourism sector by applying Case-based Reasoning (CBR) algorithm. …”
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Restock management system by using market basket analysis / Nazrin Adnan by Adnan, Nazrin

“…The criteria used for the algorithm is previous of customer purchase. To achieve this requirements, a Visual Basic 6 language is used for develop this system as platform and MSAcess Databse use for save and retieve data for analysze purpose. …”
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Comprehensive power restoration approach using rule-based method for 11kV distribution network by Khalid A.R., Ahmad S.M.S., Shakil A., Pa N.N., Shafie R.M.

“…This requires fast computation time and selection of best restoration plan for customer's satisfaction. This paper presents a restoration algorithm based on a Rule-Based approach. …”

Variable Neighbourhood Search Algorithm for Vehicle Routing Problem with Backhaul by Siaw Ying Doreen, Sek

“…In this research, 22 sets of benchmark instances introduced by Goetschalckx and Jacobs-Blecha are used to test the efficiency and effectiveness of the proposed algorithm. The proposed algorithm solution consists of two main phases. …”
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Comparison on queuing performance measures on customer’s flow using Queuing Theory Model and DSW Algorithm / Muhammad Izuanudin Azmi, Muhamad Aiman Zulhaikal Azizul and Nurul Aisya... by Azmi, Muhammad Izuanudin, Azizul, Muhamad Aiman Zulhaikal, Abd Razak, Nurul Aisyah

“…A model is developed in queuing theory to predict queue lengths and waiting times. …”
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Fraud Detection in Shipping Industry using K-NN Algorithm by Subramaniam G., Mahmoud M.A.

The effect of balanced scorecard on business performance : a mediating effect of new product development success in food and beverage industry in Malaysia by Zhengxiaoming, Aminaimu

“…The study results show that the financial, internal process, and customer perspectives had a positive and significant effect on new product development success. …”
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Improving explicit aspects extraction in sentiment analysis using optimized ruleset / Mohammad Ahmad Jomah Tubishat by Mohammad Ahmad, Jomah Tubishat

“…In addition, the improved WOA is developed by using Cauchy mutation and local search algorithm to solve its local optima problem and improve population diversity. …”
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Analyzing customer reviews for ARBA Travel using sentiment analysis by Abdullah, Nurulain

“…Key phrases are extracted from 400 customer reviews on Google Reviews and 300 from Facebook to reveal common themes in customer experiences. …”
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Fraud detection in shipping industry based on location using machine learning comparison techniques by Ganesan Subramaniam, Mr.

“…Results from this study indicates the usage of k-NN is proven to be most effective algorithm in terms of performance and accuracy required by the shipping industry fraud detection.…”