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The alerts produced by the real time intrusion detection systems, e.g. Snort, can be difficult for security administrators to efficiently review and respond to, due to the enormous amount of messages generated in a short time frame. In this research, we developed a technique, the swarm based visual data mining approach (SVDM), to help user gain insight into the alert event data of the intrusion detection...
We present an approach of identifying the most prominent text/sentences using various shallow linguistic features, taking degree of connectiveness among the text units into consideration so as to minimize the poorly linked sentences in the resulting summary. As per the limitations of the current summarizing systems, the summary generated by those systems contains poorly linked sentences and are not...
As a supporting tool for visually impaired persons, digital talking book contents, that read beading handicraft design diagram, was developed. Beading handicraft is one of popular recreational activity by visually impaired persons in community circles. The developed software recognizes symbols on design diagrams. From the output of the recognizer, the subsequent program makes sentences to be read...
This demonstration presents Apollo, a new sensor information processing tool for uncovering likely facts in noisy participatory sensing data. Participatory sensing, where users proactively document and share their observations, has received significant attention in recent years as a paradigm for crowd-sourcing observation tasks. However, it poses interesting challenges in assessing confidence in the...
Correlating estimates of objective measures related to the presence of different coding artifacts with the quality of video as perceived by human observers is a non-trivial task. There is no shortage of data to learn from, thanks to the Internet and web-sites such as YouTubetm. There has, however, been little done in the research community to try to use such resources to advance our understanding...
With the growing availability of full-text scientific articles, how text mining researchers utilize them has become an important issue. Although abstract and title provide accurate and summary information of article, lots of details are inevitably lost for its short space. The primary goal of the study is to utilize the advantages of abstract and full-text to ease the burden of reading. Finding essential...
A novel method for embedding a covert message in cover audio for secure communication is proposed. The covert message to be embedded can be of any format. In this process, two cover audio files are taken and difference of the amplitude values is calculated. These differences are then classified into number of ranges and are substituted with a new value to embed the secret message. The embedded secret...
Road-vehicle noise samples generated by common vehicles under various operating conditions were replayed using headphones. Ten subjects were instructed to describe and quantify their subjective responses to the noises. A wealth of numerical perceptual information was obtained and investigated by principal component analysis. Based on the human auditory-brain system theory, the physical factors extracted...
With development of high-throughput genotyping technologies, many genome-wide association studies on common diseases have been launched in Hong Kong. However, the population structure of Hong Kong population remains enigmatic. In GWAS, population stratification might cause problems of spurious associations. In this study, we report one of the first surveys of autosomal DNA diversity within the Hong...
Machine Science, or Data-driven Research, is a new and interesting scientific methodology that uses advanced computational techniques to identify, retrieve, classify and analyse data in order to generate hypotheses and develop models. In this paper we describe three recent biomedical Machine Science studies, and use these to assess the current state of the art with specific emphasis on data mining,...
International HapMap Project and the Human Genome Diversity Project (HGDP) provide plentiful resources on human genome information for the public. However, these kinds of information available from HapMap and HGDP are limited mainly due to the small size of samples in both databases. Recently we conducted genome-wide association study (GWAS) with 8,842 Korean subjects (Cho et al., Nature Genetics...
Identifying possible viral-host protein-protein interactions is an important and useful approach in developing new drugs targeting those interactions. In this article, a recently published dataset containing records of interactions between a set of HIV-1 proteins and a set of human proteins has been analyzed using association rule mining. The main objective is to identify a set of association rules...
Clinical electroencephalography (EEG) is routinely used to monitor brain function in critically ill patients, and specific EEG waveforms are recognized by clinicians as signatures of abnormal brain. These pathologic EEG waveforms, once detected, often necessitate accute clinincal interventions, but these events are typically rare, highly variable between patients, and often hard to separate from background,...
Automatic titling (i.e. providing titles) is one of key domains of Web site accessibility. This paper provides an approach allowing the automatic titling of texts (e.g. emails, fora, etc.) relying on the morphosyntactic study of human written titles in a corpus of various texts. The method is developed in four stages: Corpus acquisition, candidate sentences determination for titling, noun phrase extraction...
The use of portable device like pocket PCs and smart phone to support teaching and learning is not a new concept. Although the variety of mobile platforms provide more flexible and extendable learning experience, the various hardware restrictions consequently become the unavoidable challenges and barriers we need to overcome. In this paper we focus on: (1) improving the learning performance by prefetching...
It is well known that human error is the key contributor in most marine accidents. Nevertheless, human error is not the cause of accidents or mishaps in the new view on human errors; it is the deeper trouble of the MMEM (Man-Machine-Environment-Management) system. The key point for human error analysis is to find out the connection between human error and the features of system elements, that is the...
For more than twenty years we have been living in a society of online social relationships, where people tend to connect and share with others. Despite we have not yet seen its truly utility, we are facing an era of social functionality where social context can be used to personalize multimedia content and services. Contributing towards this vision, this paper presents an architectural approach that...
The following topics are dealt with: computational linguistics; data mining; data warehousing; bioinformatics; distributed computing; information security; ad hoc networks; information management; wireless sensor networks; and digital image processing.
Data in the real world is seldom complete. Occlusions or temporally unavailable sensors often lead to situations where incomplete data is presented for analysis. Approaches to handle incomplete data have been proposed using neural networks such as fuzzy ARTMAP and back propagation. In this paper we propose a novel approach extending the unsupervised neural network based clustering technique called...
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