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Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
The growth of social media has been exponential in the recent years. Immense amount of data is being put out onto the public domain through social media. This huge publicly available data can be used for research and a variety of applications. The objective of this paper is to counter problems with the social media dataset, namely : short text nature - the limited quantity of text data (140 to 160...
Cuckoo Search is a recent nature-inspired metaheuristic algorithm, inspired by the cuckoo birds' aggressive strategy to breeding. The Cuckoo Search algorithm iteratively uses a Lévy flight random walk to explore a search space. The Lévy flight mechanism takes sudden turns of 90 degrees and consequently the Cuckoo's Search strategy does not carefully search around the cuckoos' nest, and hence it suffers...
Twitter is a popular microblogging service that allows its users to view and share limited character messages (known as “tweets”) with the public. This paper proposes a tweet sentiment classification framework which pre-processes information from Emoticon and Emoji in such way that their textual representation is included to enrich the tweet. Once the tweets are pre-processed, a hybrid computational...
Selecting relevant features in data modeling is critical to ensure effective and accurate prediction of future effects. The problem becomes compounded when the relevance of previously selected features cannot be guaranteed due to changes in the underlying dataset. We propose an algorithm based on the statistical plaid model for the discovery and tracking of feature relevance scores in datasets that...
The JOCOR algorithm, which was first introduced by Mueen et at., is the currently exact method for joining two time series to find the most correlated subsequence. Despite the fact that time complexity for JOCOR belongs to O(n2lgn), where n is the length of the time series, it becomes inefficieit and unfeasible even for medium-size time series. This is because the JOCOR method is based on a brute-force...
An algorithm that can predict the review rating of a potential business with only existing information about the location and business categories would be an invaluable tool in making investment decisions. Utilizing the Yelp business dataset, we built a model, that can do as such, by classifying whether a potential business belongs to a positively-reviewed class (star ratings greater than or equal...
Sequence pattern and sequential rule mining techniques are used in many application areas. In our research, we look at the possibility of applying these techniques to spatiotemporal data for the use case of crime data mining. For that, we design the framework that coverts data information into spatiotemporal sequences, in order to detect sequential rules. In the paper, we look at the each step of...
Diverse methods abstracting plant architectures are applied in different FSPMs (Functional Structural Plant Models). The abstracted plant architectural data are not applicable for every FSPM because the data models applied in the diverse methods are not compatible. In this paper, we introduce a logical data exchange model EG (Exchange Graph) for adapting different methods abstracting plant architecture...
The prediction of short term adverse events occurrence in phototherapy treatment is important for the dermatologists who administrate phototherapy to adjust the treatment and standardize the clinical outcomes. Recently, a modeling technique which can detect the potential short term adverse events occurrence in phototherapy treatments is required for clinicians. Based on data mining, this study tends...
This Soundtracks are information rich; knowledge can be extracted and discovered from them. Audio signals may be broadly divided into three classes: speech, music and events. Dedicated recognition algorithms are typically used to extract semantic data for further knowledge discovery. A preprocessor to classify and segment audio into these three classes is essential. Current practice often neglects...
It is a well-known fact that nowadays access to sensitive information is being performed through the use of a three-tier-architecture. Web applications have become a handy interface between users and data. As database-driven web applications are being used more and more every day, web applications are being seen as a good target for attackers with the aim of accessing sensitive data. If an organization...
One can only control what he can measure. Measuring ontologies in general and inter-organizational ontologies in special is necessary to evaluate ontologies during cooperative development and evolution processes. A software metric is a standard of measuring the degree to which a software system and process possess some property. Metrics help to estimate the progress, quality, and health of a software...
One of the most important things in project management is using the most suitable tools and methods in an effective way for project success. The available tools for software project management mainly focus on planning, time management, team management, collaboration, and tracking the development progress. However, there is a lack of supporting mechanisms to guide managers and decision makers for making...
A measurement model for quantifying the intangible value of enterprise carbon management is proposed and established in this paper. We devise and formulate embedded management strategies of the assets for automobile enterprises, and develop a software agent-based system for simulating the evolution of the assets of automobile enterprises under three different scenarios. The results show that our measurement-based...
To support evidence-based science and technology policy, it is important to provide information systematically through platforms such as a decision support system. This study suggests an integrated classification system for categorizing information as a way to provide it systematically. The integrated classification system was developed by analysis of relationship among keywords of R&D classification...
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