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Graduate employability is an increasingly major concern for academic institutions and assessing student employability provides a way of linking student skills and employer business requirements. Enhancing student assessment methods for employability can improve their understanding about companies in order to get suitable company for them. So, enhanced employability prediction of student can help them...
Online customers can profit from online customers' reviews (OCR) to make a better decision of purchase. Reviews consist of advantages and disadvantages of products which provide an important resource for individuals and companies to evaluate their customers' real needs as well as precious resource for product and service improvement. In this research, we proposed a novel algorithm for mining online...
In today's competitive environment, having a customer oriented approach is inevitable for organizations. At this point, in order to achieve customer satisfaction, customer relationship management (CRM) targets to provide products and services which meet customer expectation. Data which is collected about customers is an important source to determine their needs. Therefore, analysis is made to determine...
Customer churn is one of the main problems in the telecommunications industry. Several studies have shown that attracting new customers is much more expensive than retaining existing ones. Therefore, companies are focusing on developing accurate and reliable predictive models to identify potential customers that will churn in the near future. The aim of this paper is investigating the main reasons...
Currently, enterprise systems have been focusing on expenditure services through credit card broadly because it is convenient and quick to pay for products and services. Thus, this research emphasizes on the fraud detection of credit card payment by using the machine learning technique called RUSMRN. The proposed method adopts three base classifiers which are MLP, NB and Naive Bayes algorithms. In...
Closing prices of the financial stock market change daily at the end of each session. These changes happen because of many factors that affect the prices of the stocks. This study attempts to accurately predict closing prices by applying a data mining approach and investigate and identify the most influential factors of Dubai Financial Stock Market prices. The main objective of this study is to help...
The development needs the internet and cable television entertainment increase per year that affect popping up various multimedia service provider company which is offered a lot of services to win the market. This makes customer has a lot of company choices and makes customer to be more demanded and move easily from a provider to other provider, where company knows that keep customer has the cost...
Inspired by the coming of data-driven innovation and economy, an increasing number of companies over the world are eager to analyze their data for creating useful knowledge, while graph data have become more and more crucial in many areas, such as social networks and medical/chemical applications. Different from conventional transaction data, finding the frequent patterns in a graph is more challenging...
In this work we present a Conversation Classifierbased on Multiple Classifiers, to detect Life Events on SocialMedia. In one hand, conversations can provide more contextand help disambiguate life event detection, compared with single posts. On the other hand, the increase in number of messages and the way they interact with each other within the conversation cannot be trivially modeled by a classifier...
User interaction with web sites generates a large amount of web access data stored in the web access logs. Those data can be used for e-commerce to conduct an evaluation of possessed website pages as one of the efforts to understand the desires of the user. Through classification techniques in web usage mining, we conducted an experiment to categorize a number of data obtained from the client log...
Brazilian energy distribution companies need to frequently update their database of the public lighting network. Since changes on this network are frequently not reported, it is important to monitor where they are made. An electronic device is under development for making this task easier. One component of this device uses image processing and recognition techniques to identify the luminaire models...
Violations of listed companies to disclose accounting information will mislead the ordinary investors seriously and bring huge losses to investors. Therefore, it is particularly necessary to analyze and identify the violations of listed companies based on scientific and effective methods to avoid investment risks in advance. In this paper, we firstly use t-statistic to select eight useful and characteristic...
Telemarketers of online job advertising firms face significant challenges understanding the advertising demands of small-sized enterprises. The effective use of data mining approach can offer e-recruitment companies an improved understanding of customers' patterns and greater insights of purchasing trends. However, prior studies on classifier built by data mining approach provided limited insights...
Today the channels for expressing opinions seem to increase daily. When these opinions are relevant to a company, they are important sources of business insight, whether they represent critical intelligence about a customer's defection risk, the impact of an influential reviewer on other people's purchase decisions, or early feedback on product releases, company news or competitors. Capturing and...
When the listed company was treated specially, the ST Company will be under tremendous pressure. So the Commission will take action. Firstly, it will monitor the ST Company to improve the operation and production conditions. Then, it will clean up bad assets. At last, it will put into good assets. After all these actions, the ST Company will restore normal listed company. In this paper, we use financial...
Insurance has become an important way of investment, savings and risk management. Abnormal accessing of customer data has recognized a big problem to cause the loss of insurance companies' benefits and reputation. In this paper, we analyze the behavior of abnormal accessing from the operational records of operators in order to detect the possibilities of the abuse of customer data. An algorithm of...
Nowadays, classification is one of the many fields in Data Mining, also known as Knowledge Discovery in Databases, which aims at extracting information from large data volumes. In order to achieve this, data mining uses different computational techniques from machine learning, statistics and pattern recognition. In this work, a Data Mining techniques is used to help the Decision Maker of a Marin Transportation...
This paper discusses the second-order mining of the results of data mining. There is still gap between the knowledge which can direct the operation of company and the knowledge got from data mining. We take the knowledge from data mining as primary knowledge and the knowledge from second-order data mining as intelligent knowledge. We discuss the importance of intelligent knowledge and the way to find...
Individual protection, physically or mentally, is very important for someone living in a risk environment. Insurance is one of the individual protections due to accident, blaze, critical diseases or death. Insurance company plays a critical role in providing competitive product insurance that covers flexible features depend on customer requirements. In order to compete with other competitors and fulfill...
This paper applies such data mining techniques as clustering and classifying to customer segmentation based on insurance Customer Risk Contribution matrix. A solution for segmentation management based on Clementine is put forwarded. It is brought forward that the insurance customer segmentation method, which can provide decision bases for insurance companies' making premium rate and controlling claim...
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