Databases and Information Systems Commons^™

Leveraging Social Analytics Data For Identifying Customer Segments For Online News Media, Jansen, Bernard J, Soon-Gyo Jung, Jisun An, Haewoon Kwak, Haewoon Kwak

Research Collection School Of Computing and Information Systems

In this work, we describe a methodology for leveraging large amounts of customer interaction data with online content from major social media platforms in order to isolate meaningful customer segments. The methodology is robust in that it can rapidly identify diverse customer segments using solely online behaviors and then associate these behavioral customer segments with the related distinct demographic segments, presenting a holistic picture of the customer base of an organization. We validate our methodology via the implementation of a working system that rapidly and in near real-time processes tens of millions of online customer interactions with content posted on …

Color-Sketch Simulator: A Guide For Color-Based Visual Known-Item Search, Jakub Lokoč, Anh Nguyen Phuong, Marta Vomlelová, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

In order to evaluate the effectiveness of a color-sketch retrieval system for a given multimedia database, tedious evaluations involving real users are required as users are in the center of query sketch formulation. However, without any prior knowledge about the bottlenecks of the underlying sketch-based retrieval model, the evaluations may focus on wrong settings and thus miss the desired effect. Furthermore, users have usually no clues or recommendations to draw color-sketches effectively. In this paper, we aim at a preliminary analysis to identify potential bottlenecks of a flexible color-sketch retrieval model. We present a formal framework based on position-color feature …

Eeg-Based Emotion Recognition Via Fast And Robust Feature Smoothing, Cheng Tang, Di Wang, Ah-Hwee Tan, Chunyan Miao

Research Collection School Of Computing and Information Systems

Electroencephalograph (EEG) signals reveal much of our brain states and have been widely used in emotion recognition. However, the recognition accuracy is hardly ideal mainly due to the following reasons: (i) the features extracted from EEG signals may not solely reflect one’s emotional patterns and their quality is easily affected by noise; and (ii) increasing feature dimension may enhance the recognition accuracy, but it often requires extra computation time. In this paper, we propose a feature smoothing method to alleviate the aforementioned problems. Specifically, we extract six statistical features from raw EEG signals and apply a simple yet cost-effective feature …

Self Service Business Intelligence: An Analysis Of Tourists Preferences In Kosovo, Ardian Hyseni

UBT International Conference

The purpose of this paper is to analyze the preferences of tourists in Kosovo through the data from TripAdvisor.com. Top things to do in Kosovo, will be analyzed through the comments of tourists in TripAdvisor.com. By analyzing the data with PowerBI, will be analyzed what are the most preferred things to do and what the tourists like the most in Kosovo. This paper will contribute on defining the preferences of tourists in Kosovo, it also can help tourism to invest and attract more tourists in specific areas or improve and invest in places less preferred by tourists.

Security Assessment Of Web Applications, Renelada Kushe

UBT International Conference

A web application is an application that is accessed by users over a network such as the internet or intranet. The term also refers an application that is coded in a browser-supported programming language and reliant on a common web browser to render the application executable. Web applications are vulnerable to varies exploits from those which manipulate the application via its graphical web interface (HTTP exploits), to tampering the Uniform Resource Identifier (URI) or tampering HTTPS elements not contained in the URI. Getting started from the accessibility and the variety of exploits, the security assessment is a necessity for providing …

Web Scrapping And Self Service Business Intelligence: Analysis Of Preferences Of Tourists In Albania, Ardian Hyseni

UBT International Conference

The purpose of this paper is to analyze the preferences of tourists in Albania through the data web scrapped from TripAdvisor.com. Top things to do in Albania, will be analyzed through the comments of tourists in TripAdvisor.com. By using tools for web scrapping and analyzing of data with nVivo and PowerBI, will be analyzed what are the most preferred things to do and what the tourists like doing the most in Albania. This paper will contribute on defining the preferences of tourists in Albania, also can help tourism to invest and attract more tourists in specific areas or improve and …

Implications Of Eu-Gdpr In Low-Grade Social, Activist And Ngo Settings, Lars Magnusson, Sarfraz Iqbal

UBT International Conference

Social support services are becoming popular among the citizens of every country and every age. Though, social support services easily accessible on mobile phones are used in different contexts, ranging from extending your presence and connectivity to friends, family and colleagues to using social media services for being a social activist seeking to help individuals confined in miserable situations such as homeless community, drug addicts or even revolutionists fighting against dictatorships etc. However, a very recent development in the European Parliament’s law (2016/679) on the processing and free movement of personal data in terms of EU-GDPR (General data protection rules) …

E-Commerce Implementation In Kosovo, Besnik Skenderi, Diamanta Skenderi

UBT International Conference

In this paper, author had analyzed journal articles that were published by Alemayehu & Heeks, (2007) and Hwang, Jung, & Selvendy (2006). Both articles are about e-commerce and in first article (Alemayehu & Heeks, 2007) authors had analyzed impact of cultural differences, telecomunication infrastructure and local market. In addition, authors of this research paper were focused on consumers that are purchasing through e-commerce companies.

Second analyzed article (Hwang, Jung, & Selvendy, 2006) is about exploring e-commerce benefits in developing countries and developing countries are home to more than 80% of the world’s population, and are the site for growing use …

Learning Management Systems In Higher Education, Romina Agaçi

UBT International Conference

Learning Management Systems (LMSs) are improving learning processes and are widely used in higher education institutions. There are available various types of LMSs used by pedagogues to manage eLearning and to deliver course materials to students. Nowadays, LMSs have become essential tools that affect the quality of learning and teaching in higher education. In this article, we introduce LMSs and we choose Moodle as a tool to presentaninformation system that is used in our university. Moodle is an online learning environment that supports classroom teaching. We will focus on the advantages of LMSs and why we choose Moodle as the …

An Approach To Information Security For Smes Based On The Resource-Based View Theory, Blerton Abazi

UBT International Conference

The main focus of this proposal is to analyze implementation challenges, benefits and requirements in implementation of Information Systems and managing information security in small and medium size companies in Western Balkans countries. In relation to the study, the proposal will focus in the following questions to investigate: What are the benefits that companies mostly find after the implementation of Information Systems has been implemented, efficiency, how to they manage security of the information’s, competitive advantage, return of investments etc. The study should give a clear approach to Information Systems implementation, information security, maintenance, measurable benefits, challenges companies have gone …

Towards Secure Data Flow Oriented Multi-Vendor Ict Governance Model, Lars Magnusson, Patrik Elm, Anita Mirijamdotter

UBT International Conference

Today, still, ICT Governance is being regarded as a departmental concern, not an overall organizational concern. History has shown us that implementation strategies, which are based on departments, results in fractional implementations leading to ad hoc solutions with no central control and stagnation for the in-house ICT strategy. Further, this recently has created an opinion trend; many are talking about the ICT department as being redundant, a dying out breed, which should be replaced by on-demand specialized external services. Clearly, the evermore changing surroundings do force organizations to accelerate the pace of new adaptations within their ICT plans, more vivacious …

Healthcare It In Skilled Nursing And Post-Acute Care Facilities: Reducing Hospital Admissions And Re-Admissions, Improving Reimbursement And Improving Clinical Operations, Scott L. Hopes

USF Tampa Graduate Theses and Dissertations

Health information technology (HIT), which includes electronic health record (EHR) systems and clinical data analytics, has become a major component of all health care delivery and care management. The adoption of HIT by physicians, hospitals, post-acute care organizations, pharmacies and other health care providers has been accepted as a necessary (and recently, a government required) step toward improved quality, care coordination and reduced costs: “Better coordination of care provides a path to improving communication, improving quality of care, and reducing unnecessary emergency room use and hospital readmissions. LTPAC providers play a critical role in achieving these goals” (HealthIT.gov, 2013).

Though …

Modeling Habitat Suitability Of Invasive Carps In The Upper Missisisippi River System, Charlotte Alexander, Robert F. Allen, Kevin J. Aagard

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

A Conversation Centric Approach To Understanding And Supporting The Coordination Of Social Group-Activities, Richard P. Schuler

Dissertations

Despite the widespread and large variety of communication tools available to us such as, text messaging, Skype, email, twitter, Facebook, instant messaging, GroupMe, WhatsApp, Snapchat, etc., many people still routinely find coordinating activities with our friends to be a very frustrating experience. Everyone, has at least once, encountered the difficulties involved with deciding what to do as a group. Some friends may be busy, others may have already seen the movie that the others want to see, and some do not like Mexican food. It is a challenge everyone has faced and continue to face. This is a result of …

Tagscan: Simultaneous Target Imaging And Material Identification With Commodity Rfid Devices, Ju Wang, Jie Xiong, Xiaojiang Chen, Hongbo Jiang, Rajesh Krishna Balan, Dingyi Fang

Research Collection School Of Computing and Information Systems

Target imaging and material identification play an important role in many real-life applications. This paper introduces TagScan, a system that can identify the material type and image the horizontal cut of a target simultaneously with cheap commercial of-the-shelf (COTS) RFID devices. The key intuition is that different materials and target sizes cause different amounts of phase and RSS (Received Signal Strength) changes when radio frequency (RF) signal penetrates through the target. Multiple challenges need to be addressed before we can turn the idea into a functional system including (i) indoor environments exhibit rich multipath which breaks the linear relationship between …

Every Step You Take, I’Ll Be Watching You: Practical Stepauth-Entication Of Rfid Paths, Kai Bu, Yingjiu Li

Research Collection School Of Computing and Information Systems

Path authentication thwarts counterfeits in RFID-based supply chains. Its motivation is that tagged products taking invalid paths are likely faked and injected by adversaries at certain supply chain partners/steps. Existing solutions are path-grained in that they simply regard a product as genuine if it takes any valid path. Furthermore, they enforce distributed authentication by offloading the sets of valid paths to some or all steps from a centralized issuer. This not only imposes network and storage overhead but also leaks transaction privacy. We present StepAuth, the first step-grained path authentication protocol that is practically efficient for authenticating products with strict …

Every Step You Take, I’Ll Be Watching You: Practical Stepauth-Entication Of Rfid Paths, Kai Bu, Yingjiu Li

Research Collection School Of Computing and Information Systems

Path authentication thwarts counterfeits in RFID-based supply chains. Its motivation is that tagged products taking invalid paths are likely faked and injected by adversaries at certain supply chain partners/steps. Existing solutions are path-grained in that they simply regard a product as genuine if it takes any valid path. Furthermore, they enforce distributed authentication by offloading the sets of valid paths to some or all steps from a centralized issuer. This not only imposes network and storage overhead but also leaks transaction privacy. We present StepAuth, the first step-grained path authentication protocol that is practically efficient for authenticating products with strict …

Spatiotemporal Identification Of Anomalies In A Wildlife Preserve, Bharadwaj Kishan, Jason Guan Jie Ong, Yanrong Zhang, Tin Seong Kam

Research Collection School Of Computing and Information Systems

The datasets released for the VAST Challenge 2017 comprise vehicle movement data captured with RFID sensors, chemical emission data from factories captured by gas sensors, and image attributes of the wildlife plant health obtained from satellites, all pertaining to a fictional wildlife preserve. Using visual analytics, a compelling hypothesis is established to link the spatiotemporal datasets to the phenomenon, where the count of a bird specimen is found to decline over a given year. Anomalies in vehicle traffic patterns are linked to proximal factory emissions, and further associated with satellite imagery that show proof of degradation in plant quality in …

Interactive Visual Analytics Application For Spatiotemporal Movement Data Vast Challenge 2017 Mini-Challenge 1: Award For Actionable And Detailed Analysis, Yifei Guan, Tin Seong Kam

Research Collection School Of Computing and Information Systems

The Visual Analytics Science and Technology (VAST) Challenge 2017 Mini-Challenge 1 dataset mirrored the challenging scenarios in analysing large spatiotemporal movement tracking datasets. The datasets provided contains a 13-month movement data generated by five types of sensors, for six types of vehicles passing through the Boonsong Lekagul Nature Preserve. We present an application developed with the market leading visualisation software Tableau to provide an interactive visual analysis of the multi-dimensional spatiotemporal datasets. Our interactive application allows the user to perform an interactive analysis to observe movement patterns, study vehicle trajectories and identify movement anomalies while allowing them to customise the …

Visual Sentiment Analysis For Review Images With Item-Oriented And User-Oriented Cnn, Quoc Tuan Truong, Hady W. Lauw

Research Collection School Of Computing and Information Systems

Online reviews are prevalent. When recounting their experience with a product, service, or venue, in addition to textual narration, a reviewer frequently includes images as photographic record. While textual sentiment analysis has been widely studied, in this paper we are interested in visual sentiment analysis to infer whether a given image included as part of a review expresses the overall positive or negative sentiment of that review. Visual sentiment analysis can be formulated as image classification using deep learning methods such as Convolutional Neural Networks or CNN. However, we observe that the sentiment captured within an image may be affected …