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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...
We study bribery resistance properties in two classes of reputation-based ranking systems, where the rankings are computed by weighting the rates given by users with their reputations. In the first class, the rankings are the result of the aggregation of all the ratings, and all users are provided with the same ranking for each item. In the second class, there is a first step that clusters users by...
Product bundling is widely adopted for information goods and online services because it can increase profit for companies. For example, cable companies often bundle Internet access and video streaming services together. However, it is challenging to obtain an optimal bundling strategy, not only because it is computationally expensive, but also that customers’ private information (e.g., valuations...
Granger causality is proposed to fuse stock prices and social media sentiment information for stock market prediction. Sentiment extraction is performed on the Twitter data from major stock companies. Analysis shows that authoritative user's sentiment affects the other users after an event with the lag of 3 days. The prediction is performed for Twitter and stock data from four companies. The sentiment...
Advanced statistics have proved to be a crucial tool for basketball coaches in order to improve training skills. Indeed, the performance of the team can be further optimized by studying the behaviour of players under certain conditions. In the United States of America, companies such as STATS or Second Spectrum use a complex multi-camera setup to deliver advanced statistics to all NBA teams, but the...
Extracting stop purpose information from raw GPS data is a crucial task in most location-aware applications. With the continuous growth of GPS data collected from mobile devices, this task is becoming more and more interesting; a lot of recent research has focused on pedestrians (mobile phones) data, while the commercial vehicles sector is almost unexplored. In this paper we target the problem of...
According to a report online [34], more than 200 million unique users search for jobs online every month. This incredibly large and fast growing demand has enticed software giants such as Google and Facebook to enter this space, which was previously dominated by companies such as LinkedIn, Indeed, Dice and CareerBuilder. Recently, Google released their “AIpowered Jobs Search Engine”, “Google For Jobs”...
Social media serves as a unified platform for users to express their thoughts on subjects ranging from their daily lives to their opinion on consumer brands and products. These users wield an enormous influence in shaping the opinions of other consumers and influence brand perception, brand loyalty and brand advocacy. In this paper, we analyze the opinion of 19M Twitter users towards 62 popular industries,...
Process-aware Information Systems (PAIS) have become ubiquitous in companies. Thus the amount of data that can be used to analyze and monitor process executions is vast. The event logs generated by PAIS might contain information about decision making processes and can support the understanding and improving of procedures in companies. Mining decisions and constraints from logs has already been investigated,...
In this paper, the trend of Business Intelligence (BI) adoption and maturity has been evaluated. Special emphasis was given to the small-to-medium enterprises (SME) business adoption and intensive review of BI maturity model in for the contemporary business world. Therefore, this study surveyed research works that reveal most determinants for BI efficiency. The survey has extract what lead organization...
Re-engineering is essential for maintaining the competitiveness of enterprises. Enterprise re-engineering involves addressing (emergent) changes, re-organizing, outsourcing, realigning, etc. In this paper, we investigate how to re-engineer enterprises by coupling high-level requirements and the data warehouse, leading to a process re-design that makes the business layer of an enterprise more effective...
The aim of this paper is to show the strengths and the weakness of process mining tools in post-delivery validation. This is illustrated on two use-cases from a real-world system. We also indicate what type of research has to be done to make process mining tools more usable for validation purposes.
Forecasting and analyzing urban car traffic is an actual but still very complex problem. The modern car fleet handling IT systems designed for taxi and delivery service companies allows GPS coordinate data acquisition from large amount of vehicles for optimizing the ride and freight allocation. Since the database of these companies contains movement patterns belonging to multitude of vehicles, arise...
This research focuses on analyzing and improving maintenance process by exploring novel applications of process mining and predictive analytics. We analyze the software maintenance process by applying process mining on software repositories, and address the identified inefficiencies using predictive analytics. To drive our research, we engage with practitioners from large, global IT companies and...
Programmers rely on source code documentation to quickly understand what the source code does and how they would use it. Unfortunately, many programmers do not have the time to write and maintain source code documentation. A solution to this problem is to document and summarize source code automatically. Unfortunately, research efforts to automatically generate documentation have stalled recently...
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...
Skills and competences of people participating in online professional networks constitute an ever-increasing new source for data collection and analysis. An important sub-domain of human resources management (HRM) is the recruitment process. Job advertisements and people profiles are main parts of recruitment and since are now available online, they constitute a key factor of a new e-recruitment era...
At present, all developed countries employing public eProcurement systems create a corpus of generic public procurement fraud schemes. A selection of attributes with fraud suspicion signs is performed. It is necessary to accomplish, first of all, because fraud in the public procurement sphere is one of the most common kinds of frauds. With a view to improve the existing anti-corruption enforcement...
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...
With the continued growth of the mobile game market, many game companies aim to make money through mobile games. In this situation, knowing the tendency of gamers and predicting the churn in advance can maximize profit through effective game services. For this reason, much study has been conducted for the purpose of gamer analysis and churn prediction. However, the study was mainly conducted using...
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