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Unprecedented growth of competition has raised the importance of retaining current customers. Retaining existing customers is much less expensive and difficult than recruiting new customers in a mature market. So customer retention is a significant stage in Customer Relation Management, which is also the most important growth point of profit. But the customer information is always nonlinear, so the...
Financial distress is the most synthetic form of business crisis and financial distress prediction (FDP) has been a widely and continually studied topic in the field of corporate finance. This paper attempts to put forward OR-CBR in K-nearest neighbors model, which can be the implementation of corresponding algorithm.
Nowadays, most organizations and companies support its main process (organizational and business) through Web portals; however, people that use these applications need trust on the data they manage. The analyst should add some kind of mechanisms to ensure an appropriate level of quality in the data. This paper shows an example of application of the DQ-VORD methodology, for managing and integrating...
Decision support and the impartation of the principal's preferences to the agent may influence the negotiation outcome. A multi-attribute two-party contract e-negotiation was conducted in a controlled laboratory environment. The results indicate that the effectiveness of analytical support depends on the elicitation of the numerical preference values. When preference information is transmitted in...
To overcome the shortages of the existing financial prediction models such as strict hypothesis, poor generalization ability, low prediction accuracy and low learning rate etc., a new early warning model of financial crisis have established for listed company using Extreme Learning Machine. From five dimensions of solvency, operating-ability, profitability, cash-ability and grow-ability, fifteen financial...
Location-based measurement equipments are widely used in practice. However, the traffic data they collected are restricted in small spatial scale. Recently, more and more trajectory-based equipments are introduced in field. Floating cars and cell phones are two promising products. Since large market penetration of cell phones, they have attracted more and more attention. The use of cell phone signals...
Being different from the previous studies, a comprehensive indicator system is constructed in this paper in order to reflect the influence the accounting information quality and corporate governance have on SVM model. This system includes financial indicators, the indicators of accounting information quality and those of corporate governance. Then taking Chinese listed companies of A-stock market...
This study examines how the Support Vector Machine (SVM) combined with natural language processing techniques can be used to identify product features from free-text customer reviews. To verify the validity of the proposed approach, 22,157 restaurant reviews are collected and 3,701 sentences are randomly selected and manually annotated. The experiment results show that the average precision and recall...
Nowadays, blogs have become a popular way for people and organizations to publish news and information to the public, as well as advertise their products. Certain information contained in the blogs represent business opportunities and thus can be utilized by speculators. However, many blogs may often contain similar information and the sheer volume of available information really challenges the ability...
There is a vast amount of financial information on companies' financial performance. This information is of great interest for different stakeholders, i.e., stockholders, creditors, auditors, financial analysts, and managers. For stakeholders it is important to extract relevant performance information of the companies they are interested in. As a common method for classification and prediction, decision...
The objective of this research is to assure the management of Production Planning and Control (PPC) by assuring Information Quality (IQ) through Enterprise Resource Planning (ERP) systems in tobacco industries. The contribution of this research is in applying the IQ concept to assure PPC which can ultimately minimize risks of current and potential customer loss. The research was conducted in a cigarette...
This study explores experimentally the potential of linear and non-linear support vector machines with three kernels to predict insolvency of Irish firms. The dataset used contains selected financial features based on information collected from 88 companies for a period of six years. Experiments show that non-linear support vector machines (SVM) with polynomial kernel gives highest prediction accuracy...
The paper presents method of hybrid prediction system for debt portfolio appraisal. Based on the local area competence, time spread repayment values are predicted by means of hybrid combination of various machine learning techniques. The above methods include among others clustering of references, model selection and enrichment of input variables with prediction outputs from preceding periods. Experimental...
This paper examines published data to develop a model of Logistic Regression for detecting factors associated with Fraudulent Financial Statement (FFS). After an exhaustive exploitation of prior work used financial ratios, 21 ratios are selected as potential predictors of FFS and a series of experiments have been conducted to determine the optimal parameters for Logistic model. Then, we propose an...
This study proposes a new approach for analyzing the credit risks of banking industry based the modeling of grey relational analysis (GRA). In order to construct a financial distress warning system for banking industry, a GRA approach is developed and applied to the real data set with 111 samples. The results of the current model are compared to those of traditional ones. The results illustrate that...
This paper introduces Support Vector Machines (SVM) in the particular field of decision support systems for consulting engineering companies and studies the differences and particularities of the corresponding solutions. A detailed analysis has been performed in order to assess the suitability and adaptability of these methods for the particular task taking into account the risk/benefit tradeoff.
Environmental concerns have resulted in distribution companies becoming more cognitive of the amount of carbon emissions they produce. Research has shown that distribution transformer losses comprise a significant amount of the overall losses on a distribution and transmission system. Although some of the losses are considered the cost of operations, it may be possible to reduce the total losses associated...
Privacy-preserving data mining (PPDM) is one of the recent trends in privacy and security research. Recent advances in data collection, data dissemination and related technologies have inaugurated a new era of research where existing data mining algorithms should be reconsidered from a different point of view, this of privacy preservation. This paper explores all the aspects of privacy issues in datamining,...
In the current age of recession, human resource department of every organization is facing a real challenging task of recruiting right talent peoples who can do the project in different problem domain and complete it within timeline. The main responsibility of any HR personnel is to propose right talent pool to the interviewers to save their time in selecting the right talent for their organization...
We consider the problem of gathering data for evaluation of given hypotheses, and describe a method for analyzing tradeoffs between the expected utility and the cost of data collection.
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