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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...
Identifying the technology trends, key patents to be aware of, the key players active in the field, the product areas that are heavily patented or scarcely addressed, and the focus of a company's competitors represent crucial aspects of developing a successful strategic plan, determining a company's freedom to make and sell their product, and focusing future research & product development efforts...
Nowadays, collective intelligence becomes more and more popular. Despite its high usability, many aspects of collective intelligence stay unexplored. Many companies have recognized the potential of collective intelligence and have begun using it. Prediction markets are the real life implementation of collective intelligence. The fact that prediction markets outperform experts makes it a great tool...
In any sufficiently complex software system there are experts, having a deeper understanding of parts of the system than others. However, it is not always clear who these experts are and which particular parts of the system they can provide help with. We propose a framework to elicit the expertise of developers and recommend experts by analyzing complexity measures over time. Furthermore, teams can...
Email is a reliable, confidential, fast, free and easily accessible form of communication. Due to its wide use in personal, but most importantly, professional contexts, email represents a valuable source of information that can be harvested for understanding, reengineering and repurposing undocumented business processes of companies and institutions. Few researchers have investigated the problem of...
This paper makes an empirical test on the correlation between financial restatement and audit report lag (ARL) using data of non-financial listed companies in China during the period 2009–2012. The empirical results show that there is a significant positive correlation between financial restatement and ARL. The longer the ARL is, the more likely it is for the company to perform a financial restatement...
We address the problem of extracting structured representations of economic events from a large corpus of news articles, using a combination of natural language processing and machine learning techniques. The developed techniques allow for semi-automatic population of a financial knowledge base, which, in turn, may be used to support a range of data mining and exploration tasks. The key challenge...
An ongoing problem facing all companies is how to continuously satisfy customers. Customer satisfaction has been generally determined to be an indicator utilized by companies to improve goods and services for customer retention. Since information and communication technology (ICT) is rapidly developing in every field, companies should adequately capture customers' changing mindset or the underlying...
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...
Semantic extraction based on key words is essential method to find relationships of entities. Enterprise relations analysis is becoming more and more popular in financial field, because it gives explanation on business processes and decision-making reference on investments. Most of previous studies focused on the analysis of specific situations and built relations on targeted enterprises. Hence, there...
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 presents CEFOP (Continual Evolution For Organisational Processes), a method for analysing, diagnosing and evolving the organisational processes. The dynamicity of the business environment requires from organisations to evolve their processes for maintaining their competitive advantage, but this can be time and cost consuming and cause great internal resistance. CEFOP method aims to limit...
When it comes down to public transport systems, delays are a hot topic. For a quantitative conclusion whether a delay is just an incident or happens on a regular basis, we have to believe in the figures published in the annual reports of public transport companies. However, even if some data is available online, it is quite hard to independently examine these numbers without information technologies...
Software developer turnover has become a big challenge for information technology (IT) companies. The departure of key software developers might cause big loss to an IT company since they also depart with important business knowledge and critical technical skills. Understanding developer turnover is very important for IT companies to retain talented developers and reduce the loss due to developers'...
The increasing role of social media has pushed the scientific community to invest in them and take advantage of their information. Furthermore, the diffusion of social media has a very significant impact on several areas, such as marketing (customer's opinion analysis), terrorism, politics, etc. They affect a very wide audience, such as students, teenagers and companies. In fact, Facebook, Twitter...
The games industry is notorious for its intense work ethics with uncompensated overtime and weekends at the office, also known as crunch or crunch time. Since crunch time is so common within the industry, is it possible that the benefits of crunch time outweigh the disadvantages? By studying postmortems and conducting interviews with employees in the industry, we aim to characterise crunch time and...
In many organizations huge amount of data is generated. Organizations use this data for their own benefit. Data mining extracts useful knowledge from huge data. Association rule mining is a powerful technique to find hidden patterns in large database. The limitation of mining association rules is that some sensitive patterns are revealed from sensitive rules. It is necessary to hide sensitive rules...
Aggregation aims to combine several inputs into one meaningful output. We restrict ourselves here to the unity interval, and propose an extension of the weighted product mean that avoid the nullity of the output when having only one dimension equals zero. The aggregation proposed is extended to intuitionistic fuzzy quantities.
Employees in companies can be divided into different social communities, and those who frequently socialize with each other are treated as close friends and will be grouped in the same community. In the enterprise context, a large amount of information about the employees is available in both (1) offline company internal sources and (2) online enterprise social networks (ESNs). What's more, each of...
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