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Articles 8131 - 8160 of 10509
Full-Text Articles in Entire DC Network
Novel Techniques Of Using Diversity In Software Security And Information Hiding, Jin Han
Novel Techniques Of Using Diversity In Software Security And Information Hiding, Jin Han
Dissertations and Theses Collection (Open Access)
Diversity is an important and valuable concept that has been adopted in many fields to reduce correlated risks and to increase survivability. In information security, diversity also helps to increase both defense capability and fault tolerance for information systems and communication networks, where diversity can be adopted from many different perspectives. This dissertation, in particular, focuses mainly on two aspects of diversity – the application software diversity and the diversity in data interpretation. Software diversity has many advantages over mono-culture in improving system security. A number of previous researches focused on utilizing existing off-theshelf diverse software for network protection and …
Go Niche Or Go Home: Influence Maximization In The Presence Of Strong Opponent, Long Foong Liow
Go Niche Or Go Home: Influence Maximization In The Presence Of Strong Opponent, Long Foong Liow
Dissertations and Theses Collection (Open Access)
In hotly contested product categories dominated by a few powerful firms, it is quite common for weaker or late entrants to focus only on particular segments of the whole market. The rationale for such strategy is intuitive: to avoid direct confrontation with heavy-weight firms, and to concentrate in segments where these weaker firms have comparative advantages. In marketing, this is what people called “go niche or go home”. The niche-building strategy may rely on “homophily”, which implies that consumers in a particular market segment might possess certain set of attributes that cause them to appreciate certain products better (in other …
Technical Analysis: An Asian Perspective, Siqin Liaw
Technical Analysis: An Asian Perspective, Siqin Liaw
Dissertations and Theses Collection (Open Access)
Technical analysis, namely the moving average rule and the channel rule, is applied to the currency of an Asian managed floating exchange rate regime (USD/SGD) to see if opportunities for profitable trading exist. Instead of using only daily or monthly data, higher frequency time frames of 10, 15, 30 and 60 minutes are analyzed. Profitable strategies (if any) will be broken down and analyzed within smaller time frames to see if the profits are specifically in sample.
Folklore Theorems, Implicit Maps, And Indirect Inference, Peter C. B. Phillips
Folklore Theorems, Implicit Maps, And Indirect Inference, Peter C. B. Phillips
Research Collection School Of Economics
The delta method and continuous mapping theorem are among the most extensively used tools in asymptotic derivations in econometrics. Extensions of these methods are provided for sequences of functions that are commonly encountered in applications and where the usual methods sometimes fail. Important examples of failure arise in the use of simulation-based estimation methods such as indirect inference. The paper explores the application of these methods to the indirect inference estimator (IIE) in first order autoregressive estimation. The IIE uses a binding function that is sample size dependent. Its limit theory relies on a sequence-based delta method in the stationary …
Information Extraction From Text, Jing Jiang
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 …
Single Peakedness And Giffen Demand, Massimiliano Landi
Single Peakedness And Giffen Demand, Massimiliano Landi
Research Collection School Of Economics
I provide a simple example of a single peaked utility function that generates a Giffen demand. The utility function is smooth, non piecewise defined, strictly concave but not globally increasing. A full characterization of the parameter conditions under which the Giffen demand arises is provided. In addition the properties of the demand function are studied: I find that the inferior commodity with a Giffen demand must be cheaper relatively to a substitute and that Giffen demand arises at relatively low levels of income. However it is not required that the share of income spent on that commodity be large.
Bayesian Learning Of Impacts Of Self-Exciting Jumps In Returns And Volatility, Andras Fulop, Junye Li, Jun Yu
Bayesian Learning Of Impacts Of Self-Exciting Jumps In Returns And Volatility, Andras Fulop, Junye Li, Jun Yu
Research Collection School Of Economics
The paper proposes a new class of continuous-time asset pricing models where negative jumps play a crucial role. Whenever there is a negative jump in asset returns, it is simultaneously passed on to diffusion variance and the jump intensity, generating self-exciting co-jumps of prices and volatility and jump clustering. To properly deal with parameter uncertainty and in-sample over-fitting, a Bayesian learning approach combined with an efficient particle filter is employed. It not only allows for comparison of both nested and non-nested models, but also generates all quantities necessary for sequential model analysis. Empirical investigation using S&P 500 index returns shows …
Multi-Party Multi-Period Supply Chain Coordination, Thin Yin Leong, Michelle Lee Fong Cheong
Multi-Party Multi-Period Supply Chain Coordination, Thin Yin Leong, Michelle Lee Fong Cheong
Research Collection School Of Computing and Information Systems
We apply combinatorial auction as a coordination mechanism to smooth demands placed on suppliers' limited production capacities, allowing several manufacturers to share common suppliers effectively. Products are bidders bidding for parts from suppliers, consuming their capacities in different time periods. The fourth party logistic (4PL) provider acts as the auctioneer to coordinate bids and perform price iterations. We leverage on the strong links between the Lagrangian relaxation method and combinatorial auction, where the Lagrange multipliers serve as the supply capacity reserve prices, to balance the demand and supply of capacities. To prevent cyclic behaviour and to increase convergence speed, we …
A Sentiment Analysis Of Singapore Presidential Election 2011 Using Twitter Data With Census Correction, Murphy Junyu Choy, Michelle Lee Fong Cheong, Nang Laik Ma, Ping Shung Koo
A Sentiment Analysis Of Singapore Presidential Election 2011 Using Twitter Data With Census Correction, Murphy Junyu Choy, Michelle Lee Fong Cheong, Nang Laik Ma, Ping Shung Koo
Research Collection School Of Computing and Information Systems
Sentiment analysis is a new area in text analytics where it focuses on the analysis and understanding of the human emotions from the text patterns. This new form of analysis has been widely adopted in customer relationship management especially in the context of complaint management. However, sentiment analysis using Twitter data has remained extremely difficult to manage due to sampling biasness. In this paper, we will discuss about the application of reweighting techniques in conjunction with online sentiment divisions to predict the vote percentage that individual presidential candidate in Singapore will receive in the Presidential Election 2011. There will be …
Robust Local Search For Solving Rcpsp/Max With Durational Uncertainty, Na Fu, Hoong Chuin Lau, Pradeep Varakantham, Fei Xiao
Robust Local Search For Solving Rcpsp/Max With Durational Uncertainty, Na Fu, Hoong Chuin Lau, Pradeep Varakantham, Fei Xiao
Research Collection School Of Computing and Information Systems
Scheduling problems in manufacturing, logistics and project management have frequently been modeled using the framework of Resource Constrained Project Scheduling Problems with minimum and maximum time lags (RCPSP/max). Due to the importance of these problems, providing scalable solution schedules for RCPSP/max problems is a topic of extensive research. However, all existing methods for solving RCPSP/max assume that durations of activities are known with certainty, an assumption that does not hold in real world scheduling problems where unexpected external events such as manpower availability, weather changes, etc. lead to delays or advances in completion of activities. Thus, in this paper, our …
Consumer-Driven Innovation Management, Arcot Desai Narasimhalu, Shekhar Mitra
Consumer-Driven Innovation Management, Arcot Desai Narasimhalu, Shekhar Mitra
Research Collection School Of Computing and Information Systems
The evolution of human society leads to increased affluence and prosperity of certain populations, sometimes at the expense of well-established markets. Market leaders in products and services tend to be so focused on their current customer base that they are caught off guard with the changes in markets created by the evolution. These changes often go unnoticed until it is too late. The change in customer base often requires the repositioning of products and services through innovations, which address new and emerging markets. Some of these changes could potentially result in tectonic market shifts that force innovation managers to involve …
Who Is Retweeting The Tweeters? Modeling, Originating, And Promoting Behaviors In The Twitter Network, Achananuparp Palakorn, Ee Peng Lim, Jing Jiang, Tuan Anh Hoang
Who Is Retweeting The Tweeters? Modeling, Originating, And Promoting Behaviors In The Twitter Network, Achananuparp Palakorn, Ee Peng Lim, Jing Jiang, Tuan Anh Hoang
Research Collection School Of Computing and Information Systems
Real-time microblogging systems such as Twitter offer users an easy and lightweight means to exchange information. Instead of writing formal and lengthy messages, microbloggers prefer to frequently broadcast several short messages to be read by other users. Only when messages are interesting, are they propagated further by the readers. In this article, we examine user behavior relevant to information propagation through microblogging. We specifically use retweeting activities among Twitter users to define and model originating and promoting behavior. We propose a basic model for measuring the two behaviors, a mutual dependency model, which considers the mutual relationships between the two …
Crowd Documentation: Exploring The Coverage And The Dynamics Of Api Discussions On Stack Overflow, Chris Parnin, Christoph Treude, Lars Grammel, Margaret-Anne Storey
Crowd Documentation: Exploring The Coverage And The Dynamics Of Api Discussions On Stack Overflow, Chris Parnin, Christoph Treude, Lars Grammel, Margaret-Anne Storey
Research Collection School Of Computing and Information Systems
Traditionally, many types of software documentation, such as API documentation, require a process where a few people write for many potential users. The resulting documentation, when it exists, is often of poor quality and lacks sufficient examples and explanations. In this paper, we report on an empirical study to investigate how Question and Answer (Q&A) websites, such as Stack Overflow, facilitate crowd documentation — knowledge that is written by many and read by many. We examine the crowd documentation for three popular APIs: Android, GWT, and the Java programming language. We collect usage data using Google Code Search, and analyze …
Topic Based Query Suggestions For Video Search, Kong-Wah Wan, Ah-Hwee Tan, Joo-Hwee Lim, Liang-Tien Chia
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. …
A Hybridized Lagrangian Relaxation And Simulated Annealing Method For The Course Timetabling Problem, Aldy Gunawan, Kim Leng Poh
A Hybridized Lagrangian Relaxation And Simulated Annealing Method For The Course Timetabling Problem, Aldy Gunawan, Kim Leng Poh
Research Collection School Of Computing and Information Systems
This paper describes a timetabling problem at universities, where a master course timetable is given extrinsically and conflicts due to students' course enrollment do not need to be considered. A solver for the problem, which integrates both teacher assignment and course scheduling, is described. An initial solution is obtained by a mathematical programming approach based on Lagrangian relaxation. This solution is further improved by a simulated annealing algorithm. The proposed method has been tested on instances from a university in Indonesia, as well as on several randomly generated datasets, and the corresponding computational results are reported.
Systems And Methods For Transaction Account Offerings, Clinton Allen, Michael Digregorio, Glade Erikson, Deepinder Gulati, Jacob Plammoottil Jacob, Sanjiv Khosla, Seema Chokshi
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 …
Simultaneous Camera Pose And Correspondence Estimation With Motion Coherence, Wen-Yan Lin, Loong-Fah Cheong, Ping Tan, Guo Dong, Siying Liu
Simultaneous Camera Pose And Correspondence Estimation With Motion Coherence, Wen-Yan Lin, Loong-Fah Cheong, Ping Tan, Guo Dong, Siying Liu
Research Collection School Of Computing and Information Systems
Traditionally, the camera pose recovery problem has been formulated as one of estimating the optimal camera pose given a set of point correspondences. This critically depends on the accuracy of the point correspondences and would have problems in dealing with ambiguous features such as edge contours and high visual clutter. Joint estimation of camera pose and correspondence attempts to improve performance by explicitly acknowledging the chicken and egg nature of the pose and correspondence problem. However, such joint approaches for the two-view problem are still few and even then, they face problems when scenes contain largely edge cues with few …
Preface: Trends In Natural And Machine Intelligence, Jonathan H. Chan, Ah-Hwee Tan
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.
Dynamic Secure Cloud Storage With Provenance, Sherman S. M. Chow, Cheng-Kang Chu, Xinyi Huang, Jianying Zhou, Robert H. Deng
Dynamic Secure Cloud Storage With Provenance, Sherman S. M. Chow, Cheng-Kang Chu, Xinyi Huang, Jianying Zhou, Robert H. Deng
Research Collection School Of Computing and Information Systems
One concern in using cloud storage is that the sensitive data should be confidential to the servers which are outside the trust domain of data owners. Another issue is that the user may want to preserve his/her anonymity in the sharing or accessing of the data (such as in Web 2.0 applications). To fully enjoy the benefits of cloud storage, we need a confidential data sharing mechanism which is fine-grained (one can specify who can access which classes of his/her encrypted files), dynamic (the total number of users is not fixed in the setup, and any new user can decrypt …
Optimal Decision Making For Online Referral Marketing, Zhiling Guo
Optimal Decision Making For Online Referral Marketing, Zhiling Guo
Research Collection School Of Computing and Information Systems
Widely available web 2.0 technologies not only bring rich and interactive user experiences, but also easily help users advertise products or services on their own blogs and social network webpages. Online referral marketing, for example, is a business practice that rewards customers who successfully refer other customers to a website or upon completion of a sale usually via their own social contacts. The referral rewards come in different forms such as shopping vouchers, redeemable points, discounts, prizes, cash payments, etc. We develop an analytical model to evaluate the business potential of incorporating an online referral marketing program into the firm's …
A Fuzzy Logic Multi-Criteria Decision Framework For Selecting It Service Providers, Amir Karami, Zhiling Guo
A Fuzzy Logic Multi-Criteria Decision Framework For Selecting It Service Providers, Amir Karami, Zhiling Guo
Research Collection School Of Computing and Information Systems
Selecting IT service providers in information systems outsourcing involves both qualitative and quantitative evaluations. This paper proposes an integrated multi-criteria decision-making (MCDM) framework to effectively handle uncertainty and subjectivity in the vendor selection process. The proposed methods apply fuzzy logic approach to integrate qualitative survey data into traditional multi-criteria decision models such as data envelope analysis (DEA), analytical hierarchy process (AHP) methods, and TOPSIS. Based on case studies from Iranian banking industry, we empirically test the proposed framework and show it is superior to existing methods. We demonstrate that the fuzzy logic approach provides a robust analysis for vendor selection …
Road: A New Spatial Object Search Framework For Road Networks, Ken C. K. Lee, Wang-Chien Lee, Baihua Zheng, Yuan Tian
Road: A New Spatial Object Search Framework For Road Networks, Ken C. K. Lee, Wang-Chien Lee, Baihua Zheng, Yuan Tian
Research Collection School Of Computing and Information Systems
In this paper, we present a new system framework called ROAD for spatial object search on road networks. ROAD is extensible to diverse object types and efficient for processing various location-dependent spatial queries (LDSQs), as it maintains objects separately from a given network and adopts an effective search space pruning technique. Based on our analysis on the two essential operations for LDSQ processing, namely, network traversal and object lookup, ROAD organizes a large road network as a hierarchy of interconnected regional subnetworks (called Rnets). Each Rnet is augmented with 1) shortcuts and 2) object abstracts to accelerate network traversals and …
Imbalance Challenge Of Enacting Information Privacy Safeguards In Healthcare: A Grounded Theory Approach, Rachida Parks, Heng Xu, Chao-Hsien Chu
Imbalance Challenge Of Enacting Information Privacy Safeguards In Healthcare: A Grounded Theory Approach, Rachida Parks, Heng Xu, Chao-Hsien Chu
Research Collection School Of Computing and Information Systems
Healthcare organizations face significant challenges in designing and implementing the appropriate safeguards to mitigate information privacy threats. While many studies examined various technical and behavioral safeguards to protect the confidentiality and privacy of patient information, very little is known about the actual outcomes and implications of the privacy practices in which organizations engage. There is little research theoretically explaining the outcomes of enacting privacy safeguards and subsequent effects on privacy compliance. This paper reports the results of a grounded theory study investigating the intended consequences (positive impacts) and unintended (negative impacts) consequences of enacting privacy safeguards in healthcare organizations. An …
Learning Bregman Distance Functions For Semi-Supervised Clustering, Lei Wu, Chu Hong Hoi, Rong Jin, Jianke Zhu, N. Yu
Learning Bregman Distance Functions For Semi-Supervised Clustering, Lei Wu, Chu Hong Hoi, Rong Jin, Jianke Zhu, N. Yu
Research Collection School Of Computing and Information Systems
Learning distance functions with side information plays a key role in many data mining applications. Conventional distance metric learning approaches often assume that the target distance function is represented in some form of Mahalanobis distance. These approaches usually work well when data are in low dimensionality, but often become computationally expensive or even infeasible when handling high-dimensional data. In this paper, we propose a novel scheme of learning nonlinear distance functions with side information. It aims to learn a Bregman distance function using a nonparametric approach that is similar to Support Vector Machines. We emphasize that the proposed scheme is …
Robust Distributed Scheduling Via Time Period Aggregation, Shih-Fen Cheng, John Tajan, Hoong Chuin Lau
Robust Distributed Scheduling Via Time Period Aggregation, Shih-Fen Cheng, John Tajan, Hoong Chuin Lau
Research Collection School Of Computing and Information Systems
In this paper, we evaluate whether the robustness of a market mechanism that allocates complementary resources could be improved through the aggregation of time periods in which resources are consumed. In particular, we study a multi-round combinatorial auction that is built on a general equilibrium framework. We adopt the general equilibrium framework and the particular combinatorial auction design from the literature, and we investigate the benefits and the limitation of time-period aggregation when demand-side uncertainties are introduced. By using simulation experiments on a real-life resource allocation problem from a container port, we show that, under stochastic conditions, the performance variation …
Understanding How Timing Of Alliance Formation Affects New-Venture Survival: The Dynamics Of Temporal Congruence And Contingency, David Gomulya
Understanding How Timing Of Alliance Formation Affects New-Venture Survival: The Dynamics Of Temporal Congruence And Contingency, David Gomulya
Research Collection Lee Kong Chian School Of Business
New-venture survival has greatly interested many scholars. While alliances have been shown to increase survival, the literature remains silent regarding the effect of timing of alliance formations. Related literatures regarding timing of other types of actions have also been unable to theoretically explain their conflicting empirical findings, which suggest that the effect of timing can range from positive to negative. To fill critical theoretical gaps, I develop a novel model based on temporal changes during the pre- and post-formation phases of an alliance. I show the effect can indeed range from positive to negative. I delineate further boundary condition.
Don't Blame Me: The Effects Of Ceo Power, Board Affiliation, And Sarbanes-Oxley On Ceo Turnover Following Financial Misrepresentation, David Gomulya
Don't Blame Me: The Effects Of Ceo Power, Board Affiliation, And Sarbanes-Oxley On Ceo Turnover Following Financial Misrepresentation, David Gomulya
Research Collection Lee Kong Chian School Of Business
I examine the conditions under which CEOs are terminated as an outcome of firm financial restatements. I find that chief executive‘s power acts to limit terminations,especially in cases of more severe restatements, while board members most closely affiliated with the CEO appear to avoid the stigma of financial restatements by deflecting blame to the CEO, increasing terminations. I also examine the effectiveness of regulatory remedies such as Sarbanes-Oxley, aimed at strongly penalizing CEOs for financial misrepresentation. Sarbanes-Oxley significantly alters the relationship between CEOs and their board. My context is restating U.S. public firms before (1995-1998) and after Sarbanes-Oxley (2003-2006).
Chilling A Hot Planet: Many Solutions, No Answers, Singapore Management University
Chilling A Hot Planet: Many Solutions, No Answers, Singapore Management University
Perspectives@SMU
If there was a report card on how the world is doing on issues related to climate change, it would read a resounding 'F'. Consider the figures. It took about 12,500 years between the last glacial age and today for global temperatures to rise six degrees Celsius. Yet in this century alone – despite heightened awareness of the need to arrest the ever-increasing levels of greenhouse gas emission – temperatures have risen up to four degrees Celsius.
Mobile Phone Graph Evolution: Findings, Model And Interpretation, Siyuan Liu, Lei Li, Christos Faloutsos, Lionel M. Ni
Mobile Phone Graph Evolution: Findings, Model And Interpretation, Siyuan Liu, Lei Li, Christos Faloutsos, Lionel M. Ni
LARC Research Publications
What are the features of mobile phone graph along the time? How to model these features? What are the interpretation for the evolutional graph generation process? To answer the above challenging problems, we analyze a massive who-call-whom networks as long as a year, gathered from records of two large mobile phone communication networks both with 2 million users and 2 billion of calls. We examine the calling behavior distribution at multiple time scales (e.g. day, week, month and quarter), and find that the distribution is not only skewed with a heavy tail, but also changing at different time scales. How …
Dealing With The Threats Inherent In Unproctored Internet Testing Of Cognitive Ability: Results From A Large-Scale Operational Test Program, Filip Lievens, Eugene Burke
Dealing With The Threats Inherent In Unproctored Internet Testing Of Cognitive Ability: Results From A Large-Scale Operational Test Program, Filip Lievens, Eugene Burke
Research Collection Lee Kong Chian School Of Business
There is little information available about operational systems of unproctored Internet testing (UIT) of cognitive ability and how they deal with the threats inherent in UIT. This descriptive study provides a much-needed empirical examination of a large-scale operational UIT system of cognitive ability that implemented test design and verification testing for increasing test security and honest responding. Test security evaluations showed item exposure and test overlap rates were acceptable. Aberrant score evaluations revealed that negative score change (higher unproctored scores than proctored ones) was negligible. Implications for UIT research are discussed.