Search Results - (( data classification techniques ) OR ( evolution computing techniques ))

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

“…Data mining is a concept established by computer scientists to lead a secure and reliable classification and deduction of data. …”
Get full text
Get full text
Get full text

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

“…Data mining is a concept established by computer scientists to lead a secure and reliable classification and deduction of data. …”
Get full text
Get full text
Get full text
Get full text

Stock market turning points rule-based prediction / Lersak Photong … [et al.] by Photong, Lersak, Sukprasert, Anupong, Boonlua, Sutana, Ampant, Pravi

“…Results show that the best feature selection is term frequency and trimming of the feature with a frequency greater than 95%. The best news classification approach is based on Deep Learning techniques that provide the most accurate classification. …”
Get full text
Get full text

Classification with degree of importance of attributes for stock market data mining by Khokhar, Rashid Hafeez, Md. Sap, Mohd. Noor

“…We present another modification of fuzzy decision tree (FDT) classification techniques that aims to combine symbolic decision trees in data classification with approximate reasoning offered by fuzzy representation. …”
Get full text
Get full text

Data mining in computer auditing / Hiromi Wong, Siew Lan and Valery Fred Lee by Hiromi , Wong, Siew , Lan, Valery, Fred Lee

“…The report will cover the literature review that started with an introduction to computer auditing, introduction to data mining, data mining techniques (classification, neural network and sequential analysis), and the existing data mining software. …”
Get full text
Get full text

Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level by Hasan Mahmoud Sha'ban Kanaker

Profiling patterns in healthcare using an ensemble model framework to predict employee health risks by Chan, Nicholas Kin Whai

“…The exponential growth of data, commonly referred to as big data, has sparked a surge in interest in advanced analytics techniques to harness its potential. …”
Get full text
Get full text

Multi-tier classification based on sentiment, type, emotion and purpose for online diabetes community / Wandeep Kaur Ratan Singh by Wandeep Kaur , Ratan Singh

“…Facebook being one of the largest social networking sites has only encouraged such exchange thus mounting to a sheer amount of data that is hidden within unstructured text. The aim of this research is to propose a multi-tier classification based on sentiment, type, emotion and purpose (STEP) to classify data collected from diabetes community within Facebook. …”
Get full text
Get full text
Get full text

Stacking with recursive feature elimination-isolation forest for classification of diabetes mellitus by Nur Farahaina, Idris, Mohd Arfian, Ismail, Mohd Izham, Mohd Jaya, Ashraf Osman, Ibrahim, Abulfaraj, Anas W., Binzagr, Faisal

“…It is prevalent to control this problem, as diabetes can lead to many health complications. As evolution happens, humankind starts integrating computer technology with the healthcare system. …”
Get full text
Get full text
Get full text

Stacking with recursive feature elimination-isolation forest for classification of diabetes mellitus by Nur Farahaina, Idris, Mohd Arfian, Ismail, Mohd Izham, Mohd Jaya, Ashraf Osman, Ibrahim, Abulfaraj, Anas W., Binzagr, Faisal

“…It is prevalent to control this problem, as diabetes can lead to many health complications. As evolution happens, humankind starts integrating computer technology with the healthcare system. …”
Get full text
Get full text
Get full text

Overview and future opportunities of sentiment analysis approaches for big data by Mohd Sharef, Nurfadhlina, Mat Zin, Harnani, Nadali, Samaneh

“…However, scarce works have studied the gaps of SA application in big data. The contribution of this paper is two-fold: (i) this study reviews the state of the art of SA approaches. including sentiment polarity detection, SA features (explicit and implicit), sentiment classification techniques and applications of SA and (ii) this study reviews the suitability of SA approaches for application in the big data frameworks, as well as highlights the gaps and suggests future works that should be explored. …”
Get full text
Get full text
Get full text

An improved method using fuzzy system based on hybrid boahs for phishing attack detection by Noor Syahirah, Nordin

“…The experiment was executed by using k-fold cross validation techniques for predicting the classification algorithm performance. …”
Get full text
Get full text

Representation Of Rational Bézier Quadratics Using Genetic Algorithm, Differential Evolution And Particle Swarm Optimization by Yahya, Zainor Ridzuan

“…For each proposed soft computing technique, parameter tuning is done as an essential study. …”
Get full text
Get full text

Data Mining Classification Techniques and Performances on Medical Data by Benyehmad, Yahyia Mohammed M. Ali

Get full text
Get full text
Get full text

Mining the DNA sequence for race classification / Siti Nurihan Ariffin by Ariffin, Siti Nurihan

“…The comparison between classification techniques was done in order to get the best technique for classification. …”
Get full text
Get full text

News sentiment and actual price of stock data: using news classification technique / Anupong Sukprasert, Weerasak Sawangloke and Benchamaphorn Sombatthira by Sukprasert, Anupong, Sawangloke, Weerasak, Sombatthira, Benchamaphorn

“…There were seventeen companies’ data used to analyze the data. News classification techniques was used to sort out key features for further classification. …”
Get full text
Get full text

Comparative analysis of data mining techniques for medical data classification by S. A., Lashari, Ibrahim, Rosziati

“…Medical data classification plays a crucial role in many medical imaging applications by automating or facilitating the delineation of image data.It addresses the problem of diagnosis, analysis and teaching purposes in medicine.For these several medical imaging data modalities and applications based on data mining techniques have been proposed and developed.In this paper, a comparative analysis of applications of data mining techniques has been presented.Thus, the existing literature suggests that we do not lose sight of the current and future potential of applications of data mining techniques that can impact upon the successful classification of medical data into a thematic map.Thus, there is a great potential for the use of data mining techniques for medical data classification, which has not been fully investigated and would be one of the interesting directions for future research.…”
Get full text
Get full text
Get full text

Applying data mining classification techniques for employee’s performance prediction by Jantan, Hamidah, Puteh, Mazidah, Hamdan, Abdul Razak, Ali Othman, Zulaiha

“…An experiment is carried out to demonstrate the feasibility of the suggested classification techniques using employee’s performance data. …”
Get full text
Get full text
Get full text

Case Slicing Technique for Feature Selection by A. Shiba, Omar A.

“…One of the problems addressed by machine learning is data classification. Finding a good classification algorithm is an important component of many data mining projects. …”
Get full text
Get full text

Differential evolution technique of HEPWM for three-phase voltage source inverter by Azziddin, Mohamad Razali, Kamisman, Norazelina, Jurifa, Mat Lazi, Bahari, Norhazilina

“…This paper presents the execution of Differential Evolution (DE) algorithm in order to understand the principle operation of Harmonic Elimination Pulse-Width Modulation (HEPWM) switching technique. …”
Get full text
Get full text
Get full text