The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The problem faced by the company is how to determine potential customers and apply CRM (Customer Relationship Management) in order to perform the right marketing strategy, so it can bring benefits to the company. This research aims to perform clustering and profiling customer by using the model of Recency Frequency and Monetary (RFM) to provide customer relationship management (CRM) recommendation...
This paper studies the relationship between China stock market performances and investors' attention, where the attention is measured by the page view of China's largest stock forum. The results show that trading volume, intraday volatility and liquidity have positive effects on investors' attention, while the effects of stock return to the attention is not significant. Finally, we demonstrate that...
Sentimental Analysis is one of the most popular technique which is widely been used in every industry. Extraction of sentiments from user's comments is used in detecting the user view for a particular company. Sentimental Analysis can help in predicting the mood of people which affects the stock prices and thus can help in prediction of actual prices. In this paper sentimental analysis is performed...
Traditional viral marketing problems aim at selecting a subset of seed users for one single product to maximize its awareness in social networks. However, in real scenarios, multiple products can be promoted in social networks at the same time. At the product level, the relationships among these products can be quite intertwined, e.g., competing, complementary and independent. In this paper, we will...
Data completeness is one of the most important data quality dimensions and an essential premise in data analytics. With new emerging Big Data trends such as the data lake concept, which provides a low cost data preparation repository instead of moving curated data into a data warehouse, the problem of data completeness is additionally reinforced. While traditionally the process of filling in missing...
In real world situations, customer behavior is changing and evolving over time. It is necessary to consider this dynamism in customer segmentation analysis and other business-related activities to develop effective marketing strategies. The main aim of this study is to explore the patterns of customer segments' structural changes. Up to now, there has been no research on this particular topic. This...
In recent years data mining (DM) has been heavily applied in customer relationship management (CRM). The objective of this paper is the categorization of customer records into several groups in the Business-to-Business (B2B) context, using clustering analysis. The obtained categories are then used to make suitable marketing strategy recommendations for each group of customers. This is accomplished...
This paper from the perspective of financial performance, using the factor analysis method to analylze financial comprehensive performance of 17 sample corporation which are chosen from chinese highway-listed corporation, aims to build financial performance evaluation system of highway industry.11 indicators were selected from four aspect: solvency, profitability, growth ability, operation ability,...
Identifying review manipulation has become one of hot research issues in e-commerce because more and more customers make their purchase decisions based on some personal comments from virtual communities and e-business websites. Customers consider these personal reviews are more reliable than the existing internet advertisements. Consequently, some enterprises attempt to create fake personal comments...
Researchers and practitioners have employed various analytical and empirical examinations of financial data in their attempts to detect fraud. Nonetheless, despite the various comprehensive analytical examinations and other supporting techniques, there are still fraud incidences that are not discovered. There have been scarce research works that examine the readability of qualitative text in company...
Considering the demand that the State Grid Corporation cultivates Special and important scientific and technological achievements which match the strength of the company and the high-end leading talents, a major scientific and technological achievements decision support system based on the data warehouse and data mining technology is designed and realized. The paper first reviews the domestic and...
Accounting is a science that, by studying the financial statements, search to provide information of great importance for decision-making, becoming a crucial tool for the managers of an organization. One of the existing difficulties is in the transparency and understanding of accounting data by managers. The studies in this area show the use of subjectivity on the part of financial analysts while...
Stock trading is a popular approach for money investment. This paper focuses on Thai stock market which has hundreds of individual stocks. The aim of this paper is to apply an association rule mining technique for discovering the relationships between individual stocks. The transactional dataset used to generate the rules consists of 242 trading days from 4 January 2010 to 30 December 2010. The results...
In order to evaluate the MBO short-term performance and long-term performance, by virtue of 36 listed company samples which were buy-outed by management among 1997-2004, an empirical study was conducted based on factor analysis and matching T test. Empirical results showed that there was obvious improvement on the enterprise performance from overall view. The common factors such as risk control factor,...
Prevention of the Moral Risks of Management is not only the key factor of Modern Enterprise System, but also one important issue of Corporate Finance and Human Resources Management. In this paper, we will start from the Principal-Agent Theory and Human Resources Management Theory, and we adopt Data Mining System to analyze 1276 listed companies in Shanghai and Shenzhen Stock Market, in order to explore...
This paper tested relationship between corporate governance and audit fees in China Capital Market based on data mining technology. Using 232 observations by the end of 2009, the paper designed special applied regression of data mining to investigate the question. Final conclusions of data mining show that audit fees are positively relative to proportion of controlling stockholder and are negatively...
This survey paper categorizes, compares, and summarizes the data set, algorithm and performance measurement in almost all published technical and review articles in automated accounting fraud detection. Most researches regard fraud companies and non-fraud companies as data subjects, Eigenvalue covers auditor data, company governance data, financial statement data, industries, trading data and other...
Client moral risk in insurance industry arouses many problems such as insurance fraud, high loss ratio and adverse selection. Outlier detection which helps identify inconsistent records from large amounts of information data taken from policyholders, is becoming an important task of insurance companies. Data mining algorithm, which aims to identifying outliers, is acknowledged as a viable solution...
The assessment of the quality of teaching is in accordance with the purpose and principles of teaching. By use of the evaluation of technical feasibility of the teaching process and the expected results, the value of the judgement can be given to provide some information and make some kind of assessment on the subject which need to be assessed. On the teaching quality of teachers, there are many kinds...
At first, this paper introduces the CRM and data mining and the concept of Clustering Analysis, And then started from Customer relationship management's core values-Customer Value, deeply expound the meaning of customer value and it is in a key position in the customer relationship management. And in-depth study CRM Customer Value Analysis by applying Data Mining Technology, The purpose of in-depth...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.