Databases and Information Systems Commons^™

A Hybrid Recommendation System Based On Association Rules, Ahmed Alsalama

Masters Theses & Specialist Projects

Recommendation systems are widely used in e-commerce applications. The
engine of a current recommendation system recommends items to a particular user based on user preferences and previous high ratings. Various recommendation schemes such as collaborative filtering and content-based approaches are used to build a recommendation system. Most of current recommendation systems were developed to fit a certain domain such as books, articles, and movies. We propose a hybrid framework recommendation system to be applied on two dimensional spaces (User × Item) with a large number of users and a small number of items. Moreover, our proposed framework makes use of both ...

Ikriya: Simulating Software Quality Enhancement With Selected Replacement Policies, Sindhu Dharani Murthy

Masters Theses & Specialist Projects

The quality of information systems in any organization helps to determine the
efficiency of the organization. Many organizations maintain a custom software portfolio, whose quality is important to the organization. Management would like to optimize the portfolio’s quality. Decisions about software replacement or enhancement are made based on organizational needs and priorities. The development resources allocated help in determining the quality of new software, and should be put to optimal use. Enhancing existing software might sound cheap and easy but it is not always efficient. This thesis proposes a simulation model - iKriya - for this problem. It explores the consequences ...

Hybrid Methods For Feature Selection, Iunniang Cheng

Masters Theses & Specialist Projects

Feature selection is one of the important data preprocessing steps in data mining. The feature selection problem involves finding a feature subset such that a classification model built only with this subset would have better predictive accuracy than model built with a complete set of features. In this study, we propose two hybrid methods for feature selection. The best features are selected through either the hybrid methods or existing feature selection methods. Next, the reduced dataset is used to build classification models using five classifiers. The classification accuracy was evaluated in terms of the area under the Receiver Operating Characteristic ...

Dependence On Cyberscribes - Issues In E-Security, Thomas R. Mclean, Alexander B. Mclean

Journal of Business & Technology Law

No abstract provided.

Social Desirability Bias And Engagement In Systems Designed For Long-Term Health Tracking, Laura Vardoulakis

Computer Science Dissertations

In the coming years, remote health monitoring is an area that is expected to grow significantly. Systems designed to follow-up with patients at home can be used not only to reduce visits to the doctor but also to augment the face-to-face interactions between patients and physicians. These systems could also provide much-needed care to the millions of people living in rural areas.

While many researchers are investigating remote sensing technologies, the use of self-report in technological systems for long-term health monitoring remains a relatively understudied area. In this thesis, we investigate two main challenges in building systems designed for the ...

Informationist Role: Clinical Data Management In Auditory Research, Karen L. Hanson, Theodora A. Bakker, Mario A. Svirsky, Arlene C. Neuman, Neil Rambo

Journal of eScience Librarianship

Informationists at NYU Health Sciences Libraries (NYUHSL) successfully applied for a NLM supplement to a translational research grant obtained by PIs in the NYU School of Medicine Department of Otolaryngology titled, “Clinical Management of Cochlear Implant Patients with Contralateral Hearing Aids”. The grant involves development of evidence-based guidelines for post-implant management of patients with bimodal cochlear implants. The PIs are also seeking to acquire new data sets to merge with grant-generated data. In light of the shifting data requirements, and the potential introduction of additional datasets, informationists will evaluate and restructure the data model and data entry tool. Report queries ...

Sqlite Page Caching Algorithm, Jason V. Ma

Computer Science Technical Reports

SQLite is a database which can be easily embedded inside an application written in the C programming language. One common use is inside the Mozilla Firefox web browser. This project's purpose is to modify SQLite's page caching algorithm so that it will be able to determine which cache page to evict based on the number of historical memory references to a page based on the Least Recently Used (LRU) algorithm.

Stock Market Prediction Without Sentiment Analysis: Using A Web-Traffic Based Classifier And User-Level Analysis, Pierpaolo Dondio

Conference papers

This paper provides further evidence on the predictive power of online community traffic with regard to stock prices. Using the largest dataset to date, spanning 8 years and almost the complete set of SP500 stocks, we train a classifier using a set of features entirely extracted from web-traffic data of financial online communities. The classifier is shown to outperform the predictive power of a baseline classifier solely based on price time-series, and to have similar performances as the classifier built considering price and traffic features together. The best predictive performances are achieved when information about stock capitalization is coupled with ...

Reducing Barriers To Wesleyan Thought: Olivet Nazarene University And The Wesleyan Holiness Library, Craighton T. Hippenhammer

Faculty Scholarship - Library Science

Olivet Nazarene University’s recent move to start publishing academic scholarship in a digital institutional repository, Digital Commons, is a smart move to not only highlight and preserve Olivet scholarship, but also to support the worldwide open access movement that is widely expected to rescue the current failing model of academic publishing. The traditional methods for publishing faculty scholarship have been inadequate for some time, and the financial structures that sustain them are collapsing due to skyrocketing journal prices. What faculty members want most for their research is that it be as accessible, available and useful to other researchers and ...

The Pricing Model Of Cloud Computing Services, Jianhui Huang, Dan Ma

Research Collection School of Information Systems (Open Access)

Cloud computing service providers offer computing resource as a utility and software as a service over network. Many believe that Cloud computing is making an industry-wise paradigm shift for IT use. Besides its technique issues, the business feature of Cloud computing attracts our interests. Specifically the practice of Amazon EC2 introduces an interesting pricing scheme. Amazon provides users with virtual computing instances as a combination of interruptible service (i.e., spot instance) and uninterruptible service (i.e., on-demand and reserved instance). Spot instance is charged at a per use price which is dynamically changing over time; users of spot instance ...

Detecting Anomalies In Bipartite Graphs With Mutual Dependency Principles, Hanbo Dai, Feida Zhu, Ee Peng Lim, Hwee Hwa Pang

Research Collection School of Information Systems (Open Access)

Bipartite graphs can model many real life applications including users-rating-products in online marketplaces, users-clicking-webpages on the World Wide Web and users referring users in social networks. In these graphs, the anomalousness of nodes in one partite often depends on that of their connected nodes in the other partite. Previous studies have shown that this dependency can be positive (the anomalousness of a node in one partite increases or decreases along with that of its connected nodes in the other partite) or negative (the anomalousness of a node in one partite rises or falls in opposite direction to that of its ...

Impact Of Multimedia In Sina Weibo: Popularity And Life Span, Xun Zhao, Feida Zhu, Weining Qian, Aoying Zhou

Research Collection School of Information Systems (Open Access)

Multimedia contents such as images and videos are widely used in social network sites nowadays. Sina Weibo, a Chinese microblogging service, is one of the first microblog platforms to incorporate multimedia content sharing features. This work provides statistical analysis on how multimedia contents are produced, consumed, and propagated in Sina Weibo. Based on 230 million tweets and 1.8 million user profiles in Sina Weibo, we study the impact of multimedia contents on the popularity of both users and tweets as well as tweet life span. Our preliminary study shows that multimedia tweets dominant pure text ones in SinaWeibo. Multimedia ...

It Is Not Just What We Say, But How We Say Them: Lda-Based Behavior-Topic Model, Minghui Qiu, Feida Zhu, Jing Jiang

Research Collection School of Information Systems (Open Access)

Textual information exchanged among users on online social network platforms provides deep understanding into users' interest and behavioral patterns. However, unlike traditional text-dominant settings such as o ine publishing, one distinct feature for online social network is users' rich interactions with the textual content, which, unfortunately, has not yet been well incorporated in the existing topic modeling frameworks.

In this paper, we propose an LDA-based behavior-topic model (B-LDA) which jointly models user topic interests and behavioral patterns. We focus the study of the model on online social network settings such as microblogs like Twitter where the textual content is relatively ...

A Survey Of Recommender Systems In Twitter, Su Mon Kywe, Ee Peng Lim, Feida Zhu

Research Collection School of Information Systems (Open Access)

Twitter is a social information network where short messages or tweets are shared among a large number of users through a very simple messaging mechanism. With a population of more than 100M users generating more than 300M tweets each day, Twitter users can be easily overwhelmed by the massive amount of information available and the huge number of people they can interact with. To overcome the above information overload problem, recommender systems can be introduced to help users make the appropriate selection. Researchers have began to study recommendation problems in Twitter but their works usually address individual recommendation tasks. There ...

On Recommending Hashtags In Twitter Networks, Su Mon Kywe, Tuan Anh Hoang, Ee Peng Lim, Feida Zhu

Research Collection School of Information Systems (Open Access)

Twitter network is currently overwhelmed by massive amount of tweets generated by its users. To effectively organize and search tweets, users have to depend on appropriate hashtags inserted into tweets. We begin our research on hashtags by first analyzing a Twitter dataset generated by more than 150,000 Singapore users over a three-month period. Among several interesting findings about hashtag usage by this user community, we have found a consistent and significant use of new hashtags on a daily basis. This suggests that most hashtags have very short life span. We further propose a novel hashtag recommendation method based on ...

Spatial Search Techniques For Mobile 3d Queries In Sensor Web Environments, Junjun Yin, James Carswell

Articles

Developing mobile geo-information systems for sensor web applications involves technologies that can access linked geographical and semantically related Internet information. Additionally, in tomorrow’s Web 4.0 world, it is envisioned that trillions of inexpensive micro-sensors placed throughout the environment will also become available for discovery based on their unique geo-referenced IP address. Exploring these enormous volumes of disparate heterogeneous data on today’s location and orientation aware smartphones requires context-aware smart applications and services that can deal with “information overload”. 3DQ (Three Dimensional Query) is our novel mobile spatial interaction (MSI) prototype that acts as a next-generation base for ...

A Service Oriented Architecture For Spatial And Business Data Applications: An Ecampus Case Study, James Carswell, Thanh Thoa Pham Thi, Linh Truong Hong, Junjun Yin

Conference papers

Location-dependent queries of geospatial data are indispensable for users in today's era of "Smart" environments. At general scales, Google Maps and Google Earth with satellite and street views have provided some utilities for users to query specific locations. However, at local scales, where detailed 3D geometries and linked business data are needed, there is a general lack of related information for in depth exploration of an area. For instance, the following kinds of questions cannot be answered when interacting with Google Maps/Earth on a typical university campus: what classes are scheduled in that room over there? Whose office ...

Health Care Informatics Support Of A Simulated Study, Zeinab Salari Far

Theses and Dissertations

The objective of this project is to assess the value of REDCap (Harris, 2009) by conducting a simulated breast cancer clinical trial and demonstration. REDCap is a free, secure, web-based application designed to support data capture for research studies. To assess REDCap's value, we conducted a simulation of a clinical trial study designed to compare the use of two new technologies for breast cancer diagnosis and treatment with current best practice breast cancer diagnosis and treatment. We call the trial, "Real-Time Operating Room BC Diagnostic Treatment (RORBCDT)". The RORBCDT clinical trial is designed to assess the value of a ...

Session F-4: Using Web Tools And Strategies To Enhance Student Engagement, Jackie Naughton, Frank Tomsic

Professional Learning Day

Web tools and strategies will be introduced and modeled. Teachers will leave this session able to immediately implement the tools and strategies in their classrooms. Participants must bring their own devices.

A Nugget-Based Test Collection Construction Paradigm, Shahzad K. Rajput

Computer Science Dissertations

The problem of building test collections is central to the development of information retrieval systems such as search engines. The primary use of test collections is the evaluation of IR systems. The widely employed "Cranfield paradigm" dictates that the information relevant to a topic be encoded at the level of documents, therefore requiring effectively complete document relevance assessments. As this is no longer practical for modern corpora, numerous problems arise, including scalability, reusability, and applicability.

We propose a new method for relevance assessment based on relevant information, not relevant documents. Once the relevant information is collected, any document can be ...