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Job ad data has become an essential part of the recruiting world, helping recruiters to construct views of the labor market to determine emerging skills, closest competitors, and where to get the most value for each recruiting dollar spent. Collecting this data, however, can be problematic, as job ads are posted redundantly at numerous online locations. In this paper, we detail a domain-specific near-duplicate...
This paper considers ship route extraction and clustering problem based on Automatic Identification System (AIS) data. For the ships with known Maritime Mobile Service Identify (MMSI), we propose a ship route extraction method by using AIS data. For ship route clustering, hierarchical clustering method is selected. We firstly define a distance between ship routes to measure the dissimilarity of them...
Many sentences create certain impressions on people. These impressions help the reader to have an insight about the sentence via some entities. In NLP, this process corresponds to Named Entity Recognition (NER). NLP algorithms can trace a lot of entities in the sentence like person, location, date, time or money. One of the major problems in these operations are confusions about whether the word denotes...
The identification of association relationships in buying patterns of customers is an important problem to make proper decision by business companies. Current most research works utilizes commonly traditional Apriori algorithm to solve this problem. In this paper, a modified version of Apriori algorithm, and its combination with Eclat algorithm is suggested. Applying this approach to a case study...
Recommender systems (RS) performance largely depends on diverse types of input that characterize users' preference in the form of both explicit and implicit feedbacks. An explicit feedback is stated directly by an explicit input from users regarding their interest in some options of services or products. Such feedback, however, is not always available. On the other hand, an implicit feedback, which...
Today, large scale companies are receiving tens of thousands of feedback from their customers every day, which makes it impossible for them to evaluate the feedbacks manually. As sentiments expressed by the customers are vitally important for companies, an accurate and swift analysis is needed. In this paper, a hierarchical approach is proposed for sentiment analysis and further categorization of...
This article dials with the problems of information search in company knowledge management system by keywords and belonging to some category. The approach of weight coefficients correction based on user activity statistics is considered; also, associative analysis that allows to determine keywords bonds in measure of user request is used.
This paper presents a data-driven approach for exploring outage duration in power distribution systems. The primary goals are to analyze and interpret the outage duration according to the underlying causes and to identify significant variables that strongly impact the outage duration. To carry out this study, actual outage data collected by a major utility company that has operations in the southeastern...
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...
The design of effective financial early warning algorithm is of great significance to the financial management of the company. The weak classification algorithm can be improved to a high classification algorithm with high recognition rate through the ensemble learning. The algorithm can overcome the drawback of low classification accuracy of single classifier. Therefore, this paper combines decision...
A numerical prediction algorithm called addition-subtraction frequency (ASF) algorithm is presented in this paper to predict potential valley-point dates of stock market. In the paper, we use historical valley-point date data of Shanghai Security Exchange (SSE) Composite Index as the input of ASF algorithm. According to the Royal Swedish Academy of Sciences, the stock prediction in the next three...
Spatial co-location pattern mining is employed to identify a group of spatial types, the instances of which are frequently located in spatial proximity. Current co-location mining methods have two limitations: (1) it is difficult to set an appropriate proximity threshold to identify close instances in an unknown region and (2) those methods neglect the effects of distance values between instances...
The number of online purchases is increasing constantly. Companies have recognized the related opportunities and they are using online channels progressively. In order to acquire potential customers, companies often try to gain a better understanding through the use of web analytics. One of the most useful sources are web log files. Basically, these provide an abundance of important information about...
In order for travelers to arrive at their destination comfortably, it is important that they plan their trip carefully. Our motivation in this paper is to free the traveler from tedious planning tasks. Several studies and applications have been proposed to help travelers plan their trip according to explicit preferences, but most ignore implicit preferences. For the first time, to the best of our...
More and more on-line experiments have been done in E-Commerce in order to understand the behavior of users or customers and then apply the data analysis technique to provide business guidance. One of the techniques is A/B testing. However, there is not clear guidance on the sample size in order for us to have valuable, trustable discovery. The purpose of this work is to find out a way to group customers...
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...
This paper proposes a vehicle routing problem with simultaneous delivery and pickup in E-commerce environment. When receiving a real-time pickup order, it is hard to deal with the contradiction between logistics cost and service timeliness for express company. A dynamic scheduling strategy is developed to allocate real-time requirements utilizing on-delivery vehicle economically and quickly. Firstly,...
Fraud and abuse are two factors directly related to high health care costs, since they correspond to expenses that can be eliminated without prejudice to the quality of services provided. In Brazil, the health insurance companies implement a claim authorization process which assists in the detection of fraud and abuse. This process consists of a prior analysis of the services requested by providers,...
Object: Research of methods and tools for monitoring the company's risks in order to control and adjust risk management in the current economic conditions. Methods: The paper examines the methodological basis in order to form a procedure for observation and analysis of risks for further application of methods to influence risky events. The possibility and expediency of introducing effective performance...
Organizations often share business data with third-parties to perform data analytics. However, the business data may contain a lot of customers' private information. One major concern of these organizations is thus to ensure such private information is properly used. In this paper, we present PSpec, a formal language for specifying data usage restrictions in distributed data analytics. Compared with...
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