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Process Mining is a research area that meets the gap between business processes and various IT systems. Most of the works in this area focus on the control flow perspective, while very few of them address the organizational aspect. The organization perspective of process mining supports the discovery of social network within organization by analyzing events logs recorded during real process execution...
Hybrid Brain Computer Interface (BCI) is gaining attention as it can provide better performance or increase the number of user commands to control an external device. Hybrid BCI system using Motor imagery (MI) and Steady-state visually evoked potential (SSVEP) is one such system. Maintaining the performance during channel reduction is important in practical applications. In this paper we propose a...
Currently, the worldwide open and distance education institutions are carrying out teaching reform measures continuously to ensure open education quality, while teaching reform courses examination data analysis results will be able to reflect open education teaching reform effectiveness objectively. So Wilcoxon Rank Sum Test based examination data analysis scheme is proposed in this paper to detect...
Today, user generated content and online shared opinions are gaining relevance as a source of information not only for other consumers but also for retailers. However, the huge number of posted opinions makes difficult any manual analysis. This paper proposes a new approach for gender discourse analysis based on the semantic analysis of the content of shared reviews in electronic word of mouth communities...
With the rapid expansion of data scale, big datamining and analysis has attracted increasing attention. Outlierdetection as an important task of data mining is widely usedin many applications. However, conventional outlier detectionmethods have difficulty handling large-scale datasets. In addition, most of them typically can only identify global outliersand are over sensitive to parameters variation...
Virtual learning environment can nowadays provide good foundation for students to successfully manage any subject that is educated with the help of virtual learning environment. Backward analysis of student behavior in electronic course depending on their final marks, may reveal weaknesses of the course, or possible problem areas of teaching. This research is focused on analyzing the influence of...
In this paper, a comparison between two different text extraction methods is given, namely the linguistic (Part-of-Speech / POS) and statistical methods (Term Frequency Inverse Document Frequency / TF-IDF). Text extractions were performed as part of ontology population in the Indonesian tourism domain. This paper also contributes in creating a multimedia corpus from three different resources or websites...
High magnitude of price fluctuation in crude palm oil has been a major challenge haunting small planters, plantation companies, investors, and all the up-stream and down-stream industry players. The severe price movements over the past few years has negatively impacted all the industry participants, especially in their decision making process concerning risk management and mitigation. This paper presents...
The Sejong Electronic (machine-readable) Dictionary, developed by the 21st century Sejong Plan, contains a systematically organized information on Korean words. It helps to solve the problems encountered in the electronic formatting of a still-commonly-used hard-copy dictionary. The Sejong Electronic Dictionary, however, has a limitation relating to sentence structure and selection-restricted nouns...
Determining the protein-DNA binding specificity is an important step in understanding genetic codes. With a large amount of protein-DNA complexes, mature statistical and data mining techniques, and efficient computational power, a fundamental and comprehensive protein-DNA binding sequence analysis is conducted and described in this work. In particular, two different types of analysis are proposed...
Recently, data analysis methods have been successfully employed in various areas of industry. With their help analysts gain valuable information and knowledge about business and technical processes. In addition to established and proven statistical methods, new data analysis techniques hiding behind catchwords such as Data Mining, Knowledge Discovery in Databases, and Computational Intelligence are...
Nowadays, Web becomes an important part of organization. The huge usage data as a result of interaction of users and Web can be extracted to be knowledge applied in various application. The main problem of Web usage mining are the nature of data they deal with and the handling methods. A survey on Web usage mining was conducted with Systematic Literature Review method to identify relevant studies...
In the donation process, blood donors are screened for the level of hemoglobin or hematocrit in order to protect them from developing anemia. Nevertheless, there is no standard procedure to predict anemia development after blood donation. The São Paulo Blood Center is responsible for maintaining a database with information on each donation. However, this database doesn't have a good quality and consequently...
In this paper, we take the guide data and the program data from the users of digital cable television programs as the experimental data to carry on our experiment. And we use the SAS software platform which is very efficient in data analyzing to realize the classification of our user to different parts. So we can achieve our destination of personal recommendation and precision advertizing.
In this paper, we take the guide data and the program data from the users of digital cable television programs as the experimental data to carry on our experiment. And we use the SAS software platform which is very efficient in data analyzing to realize the classification of our user to different parts. So we can achieve our destination of personal recommendation and precision advertizing.
To detect integration errors as quickly as possible, organizations use automated build systems. Such systems ensure that (1) the developers are able to integrate their parts into an executable whole, (2) the testers are able to test the built system, (3) and the release engineers are able to leverage the generated build to produce the upcoming release. The flipside of automated builds is that any...
With the purpose of improving the efficiency of experiments on aqueous two-phase system, optimizing experimental data and extracting the optimal value from results of experiments, experimental studies and applications in aqueous two-phase system are optimized through using SAS programming language and RSM algorithm in SAS statistical system, which compose the main content of this paper. The principle...
Drivers are significant components of the operating systems(OSs), and they run in kernel mode. Generally, drivers have many errors to handle, and the functions called in the normal execution paths and error handling paths are in pairs, which are named as paired functions. However, some developers do not handle the errors completely as they forget about or are unaware of releasing the acquired resources,...
As known to all, a word's implication could differ in different domain, even the same word in the same domain may indicate diverse polarity with respect to different aspects. Due to the domain-dependent characteristic of some words, it is difficult to build a generally used sentiment lexicon. At the same time, there are a large amount of terms whose polarity is always definite. For example, “excellent”...
The exploitation of large data bases frequently implies the investment of large and, usually, expensive resources both in terms of the storage and processing time required. It is possible to obtain equivalent reduced data sets where the statistical information of the original data may be preserved while dispensing with redundant constituents. Therefore, the physical embodiment of the relevant features...
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