Hotel s performance assessment using TripAdvisor data mining analysis (Case Study: Simorgh Hotel of Tehran)
TripAdvisorData MiningSimorgh Hotel
نمایه موضوعی
مقالات حوزه «_Data Mining»
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KNOWLEDGE DISCOVERY FROM IRANIAN CAPITAL MARKET BY USING DATA PATTERN CLUSTERING
Time series data poses a significant variation to the traditional segmentation techniques of data miningbecause the observation is derived from multi…
PatternClusteringData Mining
A Survey of Data Mining Techniques for SoftwareFault Prediction
One of the most important goals of fault prediction is to detect fault prone modules as early as possible in the software development life cycle Earl…
Software Fault PredictionData Mining
Identifying the Factors Affecting the Success and Failure of E-learning Students Using Cluster Analysis
In recent years, e learning is increasingly growing, and many organizations, like universities, are seeking to implement it successfully and taking a…
Data miningE-learningUniversity
Deep Drawing Investigation Using Neural Network and Data Mining
Nowadays better production with minimum effort and lower cost is vital requirement of industrial production So all proved solutions in decreasing cos…
FEMData MiningDeep Drawing
The Application of Data Mining Techniques in Agricultural Science
Information Technology has a positive impact on other disciplines Using today's technology, precision agriculture and Information Technology are mixe…
agriculturedata miningregression
The outcome in Patients Brain Stroke: A Neural Network Approach to predict utilizing the Subclinical Risk Factors
Background:For enhancing the accuracy of diagnosis and the quality of patient care, Neural Networks NN method was approached in patients with Brain S…
Neural NetworksBrain StrokeData mining
A hybrid approach to examine the pattern of traffic crashes and drivers’ fault status across the provinces of Iran
This paper focused on examining the existing patterns of car crashes and driver fault status at a provincial level For this purpose, two clustering t…
Data miningLatent Class ClusteringHierarchical Clustering
Comparing classification algorithms of data mining in diagnosis of diabetes and assessing the effectiveness of k-fold cross validation in the accuracy of the constructed model
One of the applications of data mining is in medicine and model construction for disease diagnosis The more the modellearns from previous data, the m…
data miningNave BayesianDecision Tree
A Python-based Data mining to Address Class Imbalance Problem
Orange canvas is an open source data mining tool that is based on Python scripting, visual programming and scientific computing We developed analytic…
data miningPythonclass imbalance problem
Provide a cloud model to solve data mining problems
The progress made in collecting data and storage capabilities over the past decades has caused a large amount of information in many sciences Data mi…
dataData miningcloud computing
Simultaneous Electricity Price and Demand Forecasting in Smart Grids
Today s competitive world and economy is heavily dependent on electrical energy Since electricity cannot be stored and producing more or less than th…
forecastingdemand and pricesData mining
Behavioral analysis of malware based on data mining and machine learning techniques
Malware as a malicious software poses a major threat to the security of computer systems The amount and diversity of its variants render classic secu…
MalwareMalware DetectionData Mining
Survey of customer behavior in e-commerce using web mining techniques
Web mining is the application of data mining technique to discover useful information from World Wide Web The most important challenge of electronic…
E-commerceData miningWeb mining
Presenting a Model for Predicting the State of Being Accident-Prone of Passages According to Neural Network and Spatial Data Analysis
Accidents are considered to be one of the challenges of modern life Due to the fact that the victims of this problem and also internal transportation…
accidentdata miningneural network
Application of data mining in identifying and discovering hidden patterns of theft
Crime prevention has always been one of the basic and important issues in human life that have been applied in various ways throughout history Due to…
data miningcrime patternsrelational rules
تاثیر رفتار کاربران بر عملکرد شبکه های اجتماعی
شبکه های اجتماعی مانند اینستاگرام بر اساس علایق کاربران محتوا های مناسب را ارائه میدهند به همین ترتیب کاربران زمان بیشتری را در این شبکه ها حضور خواه…
اینستاگرامشبکه های اجتماعیالگوریتم
Introducing a new algorithm for sequential sequences to compress them in the exploration process
Data mining is the process of discovering valid, new, useful and understandablepatterns It can be said that data mining is a process in which data an…
Data miningpattern discoveryhybrid database
Extract of biological data using genetic algorithm
In this study, a data set that includes 120 samples of 60 men and 60 women, each of which has 4 characteristics examined We used a genetic algorithm…
Genetic algorithmdata miningbiological data
Evaluation of data mining and examination of its role and challenges with the Internet of Things
Internet of Thingsinformationdata analysis
Using Data Mining to Identify Drug Interactions and Adverse Effects
In the past decades, deep learning has achieved significant success in various fields of artificial intelligence research This technology has shown b…
_Data MiningIdentify Drug Interactions
Diagnosis of diabetes using Bagging algorithm
Diabetes is a disease that is caused by high blood sugar levels The various traditional methods available for diagnosing diabetes are based on physic…
diabetesdata miningbagging algorithm.
Identity Car Insurance Fraud Using Data Mining
This paper aims to compare three models of fraud detection in bodily injury ofcar insurance to select the best method with the least error Initially…
Car insuranceBodily injuryFraud
Examining Data Mining And Its Impact In The Electronic City
databaseData miningdata processing