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The Internet of Things (IoT) is a trend of connecting physical objects to the Internet. IoT applications running together with interconnected objects enable the vision of gathering data and based on that act in physical environments with minimal human intervention. Maintaining such IoT applications needs to incorporate different software and hardware components to build up the network of things that...
Data is becoming more and more valuable as technology advances. Through crowdsourcing organizations are able to collect large amounts of data at an effective rate with little cost. This paper proposes a crowdsourcing-based music playing system, where the next song to play is determined by the listening preferences of realtime online users. Unlike conventional radio play system, where songs are randomly...
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 increasing amount of gathered sensor data in Industry 4.0 allows comprehensive data analysis software that creates value-adding opportunities. As companies often cannot implement such software by themselves and as they typically don't want to give their data to external scientists, they commission them to build the required software in order to execute it locally. However, installing, configuring,...
It has become a general consensus that smart grid is one of the most important technical fields for big data technology application. Power network dispatching and planning is fundamental to power industry development and construction, however, massive power data is still manually filled in, dispatching method and planning design method relies heavily on experience and single data source. This paper...
E-recruitment sites such as LinkedIn, Reed, and Indeed have a huge number of professional resumes from job seekers and job openings posted by recruiters. In this situation, it is a very time-consuming task for job seekers to find job openings that are well matched to their careers and desired conditions. Accordingly, active studies on job recommendation (JR) have been conducted recently. In this paper,...
Accurately predicting driving service orders in different regions is an essential task for service companies, in order to improve the service quality. In this paper, a specific ensemble multi-view prediction framework is proposed to address this task. It ensembles several different multi-view-based models with a weighted linear combination. Specifically, we have designed three specific multi-view-based...
The design of a printed circuit board (PCB) is an example of the variety of technologies that have to be combined in a single physical output. Thus the need for collaboration between engineering teams, each of which with their own expertise (e.g. electrical, mechanical, testing and manufacturing) is of paramount importance. This imposes the need to share the electrical design and the PCB layout among...
Managing support tickets in large, multi-product organizations is difficult. Failure to meet the expectations of customers can lead to the escalation of support tickets, which is costly for IBM in terms of customer relationships and resources spent addressing the escalation. Keeping the customer happy is an important task in requirements engineering, which often comes in the form of handling their...
In practice, the data owners of source projects may need to share data without disclosing sensitive information. Therefore, privacy-preserving data-sharing becomes an important topic in cross-company defect prediction (CCDP). In this context, the challenge is how to achieve a high privacy-preserving level while ensuring the utility of the shared privatized data for CCDP. CLIFF&MORPH is a recently...
This paper presents first results of a project aiming to provide the requirements for enabling elderly people to stay longer in their flats or houses before moving to senior citizen's residences or nursing homes. Using market available devices an Ambient Assisted Living (AAL) system is developed for recording vital sign data. A minimal invasive radio transmission system and smart home sensors are...
In this paper, we propose a method for constructing a judging model of closeness in human relations, which plays an important role in human communication. The purpose of this model is to clarify the correlation between linguistic honorific expressions and closeness in order to develop a support tool related to the utilization of honorific expressions using information technology. Existing studies...
Stock market or equity market have a profound impact in today's economy. A rise or fall in the share price has an important role in determining the investor's gain. The existing forecasting methods make use of both linear (AR, MA, ARIMA) and non-linear algorithms (ARCH, GARCH, Neural Networks), but they focus on predicting the stock index movement or price forecasting for a single company using the...
The amount of information on the Internet is getting larger and larger, and the energy of the consumer and the ability to deal with information is limited. Electricity supplier enterprises in the development process to do are to use big data for personalized shopping guide. This paper analyzes the situation of the development of e-commerce industry in the background of big data, and puts forward the...
Stock price prediction is a challenging problem as the market is quite unpredictable. We propose a method for price prediction using Dynamic Mode Decomposition assuming stock market as a dynamic system. DMD is an equation free, data-driven, spatio-temporal algorithm which decomposes a system to modes that have predetermined temporal behaviour associated with them. These modes help us determine how...
Anugrah Citra Boga is a food processing industry that produces meatballs as their main product. One of the problems in the company is the distribution of the products. Moreover, the distribution cost was never examined scientifically to obtain the optimal value. By simulating the distribution route to minimize the distribution time, then lower cost of the distribution will be expected. Therefore,...
In Indonesia, AK/I card was a mandatory requirement to be owned by job seekers as a proof of identity, but the card functionality ends when the job searching process is completed and returned by the employing company to local Department of Labor. To the date this study being conducted, there was no continuity of AK/I card function relating to track record management of labor such as curriculum vitae,...
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...
Online professional social networks such as LinkedIn have enhanced the ability of job seekers to discover and assess career opportunities, and the ability of job providers to discover and assess potential candidates. For most job seekers, salary (or broadly compensation) is a crucial consideration in choosing a new job. At the same time, job seekers face challenges in learning the compensation associated...
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