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Topic Based Query Suggestions For Video Search, Kong-Wah WAN, Ah-hwee TAN, Joo-Hwee LIM, Liang-Tien CHIA 2012 Institute for Infocomm Research

Topic Based Query Suggestions For Video Search, Kong-Wah Wan, Ah-Hwee Tan, Joo-Hwee Lim, Liang-Tien Chia

Research Collection School Of Computing and Information Systems

Query suggestion is an assistive technology mechanism commonly used in search engines to enable a user to formulate their search queries by predicting or completing the next few query words that the user is likely to type. In most implementations, the suggestions are mined from query log and use some simple measure of query similarity such as query frequency or lexicographical matching. In this paper, we propose an alternative method of presenting query suggestions by their thematic topics. Our method adopts a document-centric approach to mine topics in the corpus, and does not require the availability of a query log. …


Information Extraction From Text, Jing JIANG 2012 Singapore Management University

Information Extraction From Text, Jing Jiang

Research Collection School Of Computing and Information Systems

Information extraction is the task of finding structured information from unstructured or semi-structured text. It is an important task in text mining and has been extensively studied in various research communities including natural language processing, information retrieval and Web mining. It has a wide range of applications in domains such as biomedical literature mining and business intelligence. Two fundamental tasks of information extraction are named entity recognition and relation extraction. The former refers to finding names of entities such as people, organizations and locations. The latter refers to finding the semantic relations such as FounderOf and HeadquarteredIn between entities. In …


Preface: Trends In Natural And Machine Intelligence, Jonathan H. CHAN, Ah-hwee TAN 2012 Singapore Management University

Preface: Trends In Natural And Machine Intelligence, Jonathan H. Chan, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

Trends in natural and machine intelligence are increasingly reflecting a convergence in these two well-established fields of study. The Third International Neural Network Society Winter Conference (INNS-WC 2012) was held in Bangkok, Thailand, on October 3-5, 2012. INNS-WC2012, with an aim to bring together scientists, practitioners, and students worldwide, to discuss the past, present, and future challenges and trends in the area of natural and machine intelligence. This event has been a bi-annual conference of the International Neural Network Society (INNS) to provide a forum for international researchers to exchange latest ideas and advances on neural networks and related discipline.


Systems And Methods For Transaction Account Offerings, Clinton ALLEN, Michael DiGregorio, Glade ERIKSON, Deepinder GULATI, Jacob Plammoottil JACOB, Sanjiv KHOSLA, Seema CHOKSHI 2012 Singapore Management University

Systems And Methods For Transaction Account Offerings, Clinton Allen, Michael Digregorio, Glade Erikson, Deepinder Gulati, Jacob Plammoottil Jacob, Sanjiv Khosla, Seema Chokshi

Research Collection School Of Computing and Information Systems

A method for receiving a user input for providing offerings is disclosed. Fields may be populated for creating a database query for matching a selection of offerings to a population of customers. Data may be received from the database, in response to interactively building the query and/or executing the query. Multiple rank ordered results may be produced for comparison, wherein the producing uses preprogrammed analytics, data from the database and user input, and wherein the results include customer lists linked to a distinct offering and a preferred delivery channel of the offering to a customer. A transaction account may be …


Predictive Modeling For Navigating Social Media, Meiqun HU 2012 Singapore Management University

Predictive Modeling For Navigating Social Media, Meiqun Hu

Dissertations and Theses Collection (Open Access)

Social media changes the way people use the Web. It has transformed ordinary Web users from information consumers to content contributors. One popular form of content contribution is social tagging, in which users assign tags to Web resources. By the collective efforts of the social tagging community, a new information space has been created for information navigation. Navigation allows serendipitous discovery of information by examining the information objects linked to one another in the social tagging space. In this dissertation, we study prediction tasks that facilitate navigation in social tagging systems. For social tagging systems to meet complex navigation needs …


Ancillary Service Capacity Optimization For Both Electric Power Suppliers And Independent System Operator, Lijian Chen, Dengfeng Sun, Guang Li 2012 University of Dayton

Ancillary Service Capacity Optimization For Both Electric Power Suppliers And Independent System Operator, Lijian Chen, Dengfeng Sun, Guang Li

MIS/OM/DS Faculty Publications

Ancillary Services (AS) in electric power industry are critical to support the transmission of energy from generators to load demands while maintaining reliable operation of transmission systems in accordance with good utility practice. The ancillary services are procured by the independent system operator (ISO) through a process called the market clearing process which can be modeled by the partial equilibrium from the ends of ISO. There are two capacity optimization problems for both Market participants (MP) and Independent System Operator (ISO). For a market participant, the firm needs to determine the capacity allocation plan for various AS to pursue operating …


Irish Cios’ Influence On Technology Innovation And It-Business Alignment, Harvey Enns, Joseph J. McDonagh 2012 University of Dayton

Irish Cios’ Influence On Technology Innovation And It-Business Alignment, Harvey Enns, Joseph J. Mcdonagh

MIS/OM/DS Faculty Publications

Technology is the driving force behind many of today’s new products, services, and cost-cutting measures. However, there are gaps in our understanding about how technological innovation is fostered and nurtured in organizations.

Part of the answer is to examine how Chief Information Officers (CIOs) exercise influence regarding technological innovation in organizations. This is particularly important since the CIO is the head of technology in organizations, an important source of technological innovation. This article draws on an established executive influence framework to demonstrate how Irish CIOs are able to solidify Information Technology’s (IT’s) contribution to technological innovation via relational means. Most …


Racial And Ethnic Proportions Of Early In-Person Voters In Cuyahoga County, General Election 2008, And Implications For 2012, Norman Robbins, Mark Salling 2012 Cleveland State University

Racial And Ethnic Proportions Of Early In-Person Voters In Cuyahoga County, General Election 2008, And Implications For 2012, Norman Robbins, Mark Salling

All Maxine Goodman Levin School of Urban Affairs Publications

No abstract provided.


Economic Culture And Trading Behaviors In Information Markets, Khalid Nasser Alhayyan 2012 University of South Florida

Economic Culture And Trading Behaviors In Information Markets, Khalid Nasser Alhayyan

USF Tampa Graduate Theses and Dissertations

There are four main components for influencing traders' behaviors in an information market context: trader characteristics, organizational characteristics, market design, and external information. This dissertation focuses on investigating the impact of individual trader characteristics on trading behaviors. Two newly-developed constructs, highly relevant to information market contexts, were identified to increase our understanding about trading behaviors: trader's economic culture and trader independence. The theory of planned behavior is used as the theoretical basis to postulate hypotheses for empirical testing. Data collected from subjects through a series of web-based experiments shows that trader participation can be fostered through recruiting individuals who are …


An Iterative Association Rule Mining Framework To K-Anonymize A Dataset, Michael Hayes, Miriam A M Capretz, Jefferey Reed, Cheryl Forchuk 2012 Western University

An Iterative Association Rule Mining Framework To K-Anonymize A Dataset, Michael Hayes, Miriam A M Capretz, Jefferey Reed, Cheryl Forchuk

Electrical and Computer Engineering Publications

Preserving and maintaining client privacy and anonymity is of utmost importance in any domain and specially so in healthcare, as loss of either of these can result in legal and ethical implications. Further, it is sometimes important to extract meaningful and useful information from existing data for research or management purposes. In this case it is necessary for the organization who manages the dataset to be certain that no attributes can identify individuals or group of individuals. This paper proposes an extendable and generalized framework to anonymize a dataset using an iterative association rule mining approach. The proposed framework also …


Autonomic Database Management: State Of The Art And Future Trends, Katarina Grolinger, Miriam AM Capretz 2012 Western University

Autonomic Database Management: State Of The Art And Future Trends, Katarina Grolinger, Miriam Am Capretz

Electrical and Computer Engineering Publications

In recent years, Database Management Systems (DBMS) have increased significantly in size and complexity, increasing the extent to which database administration is a time-consuming and expensive task. Database Administrator (DBA) expenses have become a significant part of the total cost of ownership. This results in the need to develop Autonomous Database Management systems (ADBMS) that would manage themselves without human intervention. Accordingly, this paper evaluates the current state of autonomous database systems and identifies gaps and challenges in the achievement of fully autonomic databases. In addition to highlighting technical challenges and gaps, we identify one human factor, gaining the trust …


Modeling And Compressing 3-D Facial Expressions Using Geometry Videos, Jiazhi XIA, Dao T. P. QUYNH, Ying HE, Xiaoming CHEN, Steven C. H. HOI 2012 Nanyang Technological University

Modeling And Compressing 3-D Facial Expressions Using Geometry Videos, Jiazhi Xia, Dao T. P. Quynh, Ying He, Xiaoming Chen, Steven C. H. Hoi

Research Collection School Of Computing and Information Systems

In this paper, we present a novel geometry video (GV) framework to model and compress 3-D facial expressions. GV bridges the gap of 3-D motion data and 2-D video, and provides a natural way to apply the well-studied video processing techniques to motion data processing. Our framework includes a set of algorithms to construct GVs, such as hole filling, geodesic-based face segmentation, expression-invariant parameterization (EIP), and GV compression. Our EIP algorithm can guarantee the exact correspondence of the salient features (eyes, mouth, and nose) in different frames, which leads to GVs with better spatial and temporal coherence than that of …


Automatic Document Classification In Small Environments, Jonathan David McElroy 2012 California Polytechnic State University, San Luis Obispo

Automatic Document Classification In Small Environments, Jonathan David Mcelroy

Master's Theses

Document classification is used to sort and label documents. This gives users quicker access to relevant data. Users that work with large inflow of documents spend time filing and categorizing them to allow for easier procurement. The Automatic Classification and Document Filing (ACDF) system proposed here is designed to allow users working with files or documents to rely on the system to classify and store them with little manual attention. By using a system built on Hidden Markov Models, the documents in a smaller desktop environment are categorized with better results than the traditional Naive Bayes implementation of classification.


Self‐Regulating Action Exploration In Reinforcement Learning, Teck-Hou TENG, Ah-hwee TAN, Yuan-Sin TAN 2012 Singapore Management University

Self‐Regulating Action Exploration In Reinforcement Learning, Teck-Hou Teng, Ah-Hwee Tan, Yuan-Sin Tan

Research Collection School Of Computing and Information Systems

The basic tenet of a learning process is for an agent to learn for only as much and as long as it is necessary. With reinforcement learning, the learning process is divided between exploration and exploitation. Given the complexity of the problem domain and the randomness of the learning process, the exact duration of the reinforcement learning process can never be known with certainty. Using an inaccurate number of training iterations leads either to the non-convergence or the over-training of the learning agent. This work addresses such issues by proposing a technique to self-regulate the exploration rate and training duration …


A Data-Descriptive Feedback Framework For Data Stream Management Systems, Rafael J. Fernández Moctezuma 2012 Portland State University

A Data-Descriptive Feedback Framework For Data Stream Management Systems, Rafael J. Fernández Moctezuma

Dissertations and Theses

Data Stream Management Systems (DSMSs) provide support for continuous query evaluation over data streams. Data streams provide processing challenges due to their unbounded nature and varying characteristics, such as rate and density fluctuations. DSMSs need to adapt stream processing to these changes within certain constraints, such as available computational resources and minimum latency requirements in producing results. The proposed research develops an inter-operator feedback framework, where opportunities for run-time adaptation of stream processing are expressed in terms of descriptions of substreams and actions applicable to the substreams, called feedback punctuations. Both the discovery of adaptation opportunities and the exploitation of …


Tweets And Votes: A Study Of The 2011 Singapore General Election, Marko M. SKORIC, Nathaniel D. POOR, Palakorn ACHANANUPARP, Ee Peng LIM, Jing JIANG 2012 Nanyang Technological University

Tweets And Votes: A Study Of The 2011 Singapore General Election, Marko M. Skoric, Nathaniel D. Poor, Palakorn Achananuparp, Ee Peng Lim, Jing Jiang

Research Collection School Of Computing and Information Systems

This study focuses on the uses of Twitter during the elections, examining whether the messages posted online are reflective of the climate of public opinion. Using Twitter data obtained during the official campaign period of the 2011 Singapore General Election, we test the predictive power of tweets in forecasting the election results. In line with some previous studies, we find that during the elections the Twitter sphere represents a rich source of data for gauging public opinion and that the frequency of tweets mentioning names of political parties, political candidates and contested constituencies could be used to make predictions about …


Mining Diversity On Social Media Networks, Lu LIU, Feida ZHU, Meng JIANG, Jiawei Han, Lifeng SUN, Shiqiang YANG 2012 Tsinghua University

Mining Diversity On Social Media Networks, Lu Liu, Feida Zhu, Meng Jiang, Jiawei Han, Lifeng Sun, Shiqiang Yang

Research Collection School Of Computing and Information Systems

The fast development of multimedia technology and increasing availability of network bandwidth has given rise to an abundance of network data as a result of all the ever-booming social media and social websites in recent years, e.g., Flickr, Youtube, MySpace, Facebook, etc. Social network analysis has therefore become a critical problem attracting enthusiasm from both academia and industry. However, an important measure that captures a participant’s diversity in the network has been largely neglected in previous studies. Namely, diversity characterizes how diverse a given node connects with its peers. In this paper, we give a comprehensive study of this concept. …


Ontologies Of The Future And Interfaces For All: Archaeological Databases For The 21st Century, Angela Labrador 2011 University of Massachusetts Amherst

Ontologies Of The Future And Interfaces For All: Archaeological Databases For The 21st Century, Angela Labrador

Angela M Labrador

Archaeological database management systems serve the basic and important functions of ordering, archiving, and disseminating archaeological data. The increased availability of computers and data storage over the past two decades has enabled the exponential growth of archaeological databases and data models. Despite their importance and ubiquity, archaeological database systems are rarely the subject of theoretical analysis within the discipline due to their ‘‘black box’’ nature and the perceived objectivity of computerized systems. Inspired by H. Martin Wobst’s meditations on materiality and disciplinary ethics, in this paper I explore how archaeological database systems structure archaeological interpretation and disciplinary practice. In turn, …


Support System For Novice Researchers (Ssnr): Usability Evaluation Of The First Use, Maizatul Akmar Ismail 2011 University of Malaya

Support System For Novice Researchers (Ssnr): Usability Evaluation Of The First Use, Maizatul Akmar Ismail

Maizatul Akmar Ismail

Scholars make use of research output in the form of conference proceedings, journal and theses as references as guideline in generating new knowledge for the use of future generations. Support in the early stage of study is crucial for novice researchers as it will give them some insights of where to seek for extra information on relevant literature, institutions, people and research trend without having to go through tedious process of identifying this information all by themselves. The result of the implementation of SSNR shows significant information that can be utilized by novice researchers in accelerating research process. Thus, this …


Prescriptive System For Performance Information Management System, Dr. Dipo Theophilus Akomolafe MBCS, MNCS, MCPN,, B A. Onyekwelu Mrs, Oniyide Bello 2011 Ondo State University of Science and Technology

Prescriptive System For Performance Information Management System, Dr. Dipo Theophilus Akomolafe Mbcs, Mncs, Mcpn,, B A. Onyekwelu Mrs, Oniyide Bello

Dr. Dipo Theophilus Akomolafe MBCS, MNCS, MCPN,

Information can be briefly defined as processed data. Information is crucial to the success of any organization because it must be exchanged in one form or the other before activities can be carried out. However, too much information can be overwhelming and lead to poor decision-making. Further, as organizations face an ever-growing wave of digital data, they need to analyze that data and make timely decisions to achieve effective management .Formerly, information was viewed simply as a means of expression, they now serve as the foundation for an organization’s effectiveness and efficiency. Additionally, increased pressures to manage information appropriately, communicate …


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