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Articles 3271 - 3300 of 4266
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Expressive Cp-Abe With Partially Hidden Access Structures, Junzuo Lai, Robert H. Deng, Yingjiu Li
Expressive Cp-Abe With Partially Hidden Access Structures, Junzuo Lai, Robert H. Deng, Yingjiu Li
Research Collection School Of Computing and Information Systems
At Eurocrypt 2005, Sahai and Waters [7] introduced the concept of attribute-based encryption (ABE). ABE enables public key based one-to-many encryption and is envisioned as a promising cryptographic primitive for realizing scalable and fine-grained access control systems. There are two kinds of ABE schemes [1], key-policy ABE (KP-ABE) and ciphertext-policy ABE (CP-ABE) schemes. This paper, our concern is on the latter.
Student Usage Patterns And Perceptions For Differentiated Lab Exercises In An Undergraduate Programming Course, Heng Ngee Mok
Student Usage Patterns And Perceptions For Differentiated Lab Exercises In An Undergraduate Programming Course, Heng Ngee Mok
Research Collection School Of Computing and Information Systems
Differentiated instruction in the form of tiered take-home lab exercises was implemented for students of an undergraduate-level programming course. This paper attempts to uncover the perceptions and usage patterns of students toward these new lab exercises using a comprehensive survey. Findings reveal that these tiered exercises are generally very well received and preferred over their traditional "one size fits all" counter-parts. Although the study does not show that tiered exercises have improved proÞciency or scores, it does seem to indicate higher student engagement and motivation levels. Based on the survey results, a list of recommendations is put forth for the …
Method And Apparatus For Rapid Identification Of Column Heterogeneity, Bing Tian Dai, Nikolaos Koudas, Beng Chin Ooi, Divesh Srivastava, Suresh Venkatasubranmanian
Method And Apparatus For Rapid Identification Of Column Heterogeneity, Bing Tian Dai, Nikolaos Koudas, Beng Chin Ooi, Divesh Srivastava, Suresh Venkatasubranmanian
Research Collection School Of Computing and Information Systems
A method and apparatus for rapid identification of column heterogeneity in databases are disclosed. For example, the method receives data associated with a column in a database. The method computes a cluster entropy for the data as a measure of data heterogeneity and then determines whether said data is heterogeneous in accordance with the cluster entropy.
Hasbe: A Hierarchical Attribute-Based Solution For Flexible And Scalable Access Control In Cloud Computing, Zhiguo Wan, Jun'e Liu, Robert H. Deng
Hasbe: A Hierarchical Attribute-Based Solution For Flexible And Scalable Access Control In Cloud Computing, Zhiguo Wan, Jun'e Liu, Robert H. Deng
Research Collection School Of Computing and Information Systems
Cloud computing has emerged as one of the most influential paradigms in IT industry in recent years. Since this new computing technology requires users to entrust their valuable data to cloud providers, there have been increasing security and privacy concerns on outsourced data. Several schemes employing attribute-based encryption (ABE) have been proposed for access control of outsourced data in cloud computing; however, most of them suffer from inflexibility in implementing complex access control policies. In order to realize scalable, flexible, and fine-grained access control of outsourced data in cloud computing, in this paper we propose hierarchical attribute-set-based encryption (HASBE) by …
Structural Analysis In Multi-Relational Social Networks, Bing Tian Dai, Freddy Chong Tat Chua, Ee-Peng Lim
Structural Analysis In Multi-Relational Social Networks, Bing Tian Dai, Freddy Chong Tat Chua, Ee-Peng Lim
Research Collection School Of Computing and Information Systems
Modern social networks often consist of multiple relationsamong individuals. Understanding the structureof such multi-relational network is essential. In sociology,one way of structural analysis is to identify differentpositions and roles using blockmodels. In thispaper, we generalize stochastic blockmodels to GeneralizedStochastic Blockmodels (GSBM) for performing positionaland role analysis on multi-relational networks.Our GSBM generalizes many different kinds of MultivariateProbability Distribution Function (MVPDF) tomodel different kinds of multi-relational networks. Inparticular, we propose to use multivariate Poisson distributionfor multi-relational social networks. Our experimentsshow that GSBM is able to identify the structuresfor both synthetic and real world network data.These structures can further be used for predicting …
Provable De-Anonymization Of Large Datasets With Sparse Dimensions, Anupam Datta, Divya Sharma, Arunesh Sinha
Provable De-Anonymization Of Large Datasets With Sparse Dimensions, Anupam Datta, Divya Sharma, Arunesh Sinha
Research Collection School Of Computing and Information Systems
There is a significant body of empirical work on statistical de-anonymization attacks against databases containing micro-dataabout individuals, e.g., their preferences, movie ratings, or transactiondata. Our goal is to analytically explain why such attacks work. Specifically, we analyze a variant of the Narayanan-Shmatikov algorithm thatwas used to effectively de-anonymize the Netflix database of movie ratings. We prove theorems characterizing mathematical properties of thedatabase and the auxiliary information available to the adversary thatenable two classes of privacy attacks. In the first attack, the adversarysuccessfully identifies the individual about whom she possesses auxiliaryinformation (an isolation attack). In the second attack, the adversarylearns additional …
Evaluation Of Different Electronic Product Code Discovery Service Models, Su Mon Kywe, Jie Shi, Yingjiu Li, Raghuwanshi Kailash
Evaluation Of Different Electronic Product Code Discovery Service Models, Su Mon Kywe, Jie Shi, Yingjiu Li, Raghuwanshi Kailash
Research Collection School Of Computing and Information Systems
Electronic Product Code Discovery Service (EPCDS) is an important concept in supply chain processes and in Internet of Things (IOT). It allows supply chain participants to search for their partners, communicate with them and share product information using standardized interfaces securely. Many researchers have been proposing different EPCDS models, considering different requirements. In this paper, we describe existing architecture designs of EPCDS systems, namely Directory Service Model, Query Relay Model and Aggregating Discovery Service Model (ADS). We also briefly mention Secure Discovery Service (SecDS) Model, which is an improved version of Directory Service Model with a secure attribute-based access control …
Setting Up A Low-Cost Lab Management System For A Multi-Purpose Computing Laboratory Using Virtualisation Technology, Heng Ngee Mok, Wee Kiat Tan
Setting Up A Low-Cost Lab Management System For A Multi-Purpose Computing Laboratory Using Virtualisation Technology, Heng Ngee Mok, Wee Kiat Tan
Research Collection School Of Computing and Information Systems
This paper describes how a generic computer laboratory equipped with 52 workstations is set up for teaching IT-related courses and other general purpose usage. The authors have successfully constructed a lab management system based on decentralised, client-side software virtualisation technology using Linux and free software tools from VMware that fulfils the requirements of fast "switch over" time between consecutive lab sessions, the ability to support a wide range of IT courses and usage scenarios, low cost, easy maintenance, and a sandboxed environment for potentially disruptive IT security lab exercises. Sufficient implementation details are provided so that readers can build a …
Obfuscating The Topical Intention In Enterprise Text Search, Hwee Hwa Pang, Xiaokui Xiao, Jialie Shen
Obfuscating The Topical Intention In Enterprise Text Search, Hwee Hwa Pang, Xiaokui Xiao, Jialie Shen
Research Collection School Of Computing and Information Systems
The text search queries in an enterprise can reveal the users' topic of interest, and in turn confidential staff or business information. To safeguard the enterprise from consequences arising from a disclosure of the query traces, it is desirable to obfuscate the true user intention from the search engine, without requiring it to be re-engineered. In this paper, we advocate a unique approach to profile the topics that are relevant to the user intention. Based on this approach, we introduce an (ε 1, ε 2)-privacy model that allows a user to stipulate that topics relevant to her intention …
Detecting Extreme Rank Anomalous Collections, Hanbo Dai, Feida Zhu, Ee-Peng Lim, Hwee Hwa Pang
Detecting Extreme Rank Anomalous Collections, Hanbo Dai, Feida Zhu, Ee-Peng Lim, Hwee Hwa Pang
Research Collection School Of Computing and Information Systems
Anomaly or outlier detection has a wide range of applications, including fraud and spam detection. Most existing studies focus on detecting point anomalies, i.e., individual, isolated entities. However, there is an increasing number of applications in which anomalies do not occur individually, but in small collections. Unlike the majority, entities in an anomalous collection tend to share certain extreme behavioral traits. The knowledge essential in understanding why and how the set of entities becomes outliers would only be revealed by examining at the collection level. A good example is web spammers adopting common spamming techniques. To discover this kind of …
Boosting Web Video Categorization With Contextual Information From Social Web, Xiao Wu, Chong-Wah Ngo, Yi-Ming Zhu, Qiang Peng
Boosting Web Video Categorization With Contextual Information From Social Web, Xiao Wu, Chong-Wah Ngo, Yi-Ming Zhu, Qiang Peng
Research Collection School Of Computing and Information Systems
Web video categorization is a fundamental task for web video search. In this paper, we explore web video categorization from a new perspective, by integrating the model-based and data-driven approaches to boost the performance. The boosting comes from two aspects: one is the performance improvement for text classifiers through query expansion from related videos and user videos. The model-based classifiers are built based on the text features extracted from title and tags. Related videos and user videos act as external resources for compensating the shortcoming of the limited and noisy text features. Query expansion is adopted to reinforce the classification …
Hoare-Style Verification Of Graph Programs, Christopher M. Poskitt, Detlef Plump
Hoare-Style Verification Of Graph Programs, Christopher M. Poskitt, Detlef Plump
Research Collection School Of Computing and Information Systems
GP (for Graph Programs) is an experimental nondeterministic programming language for solving problems on graphs and graph-like structures. The language is based on graph transformation rules, allowing visual programming at a high level of abstraction. In particular, GP frees programmers from dealing with low-level data structures. In this paper, we present a Hoare-style proof system for verifying the partial correctness of (a subset of) graph programs. The pre- and postconditions of the calculus are nested graph conditions with expressions, a formalism for specifying both structural graph properties and properties of labels. We show that our proof system is sound with …
Dynamic Lookahead Mechanism For Conserving Power In Multi-Player Mobile Games, Karthik Thirugnanam, Bhojan Anand, Jeena Sebastian, Pravein Kannan, Akhihebbal L. Ananda, Rajesh Krishna Balan, Mun Choon Chan
Dynamic Lookahead Mechanism For Conserving Power In Multi-Player Mobile Games, Karthik Thirugnanam, Bhojan Anand, Jeena Sebastian, Pravein Kannan, Akhihebbal L. Ananda, Rajesh Krishna Balan, Mun Choon Chan
Research Collection School Of Computing and Information Systems
As the current generation of mobile smartphones become more powerful, they are being used to perform more resource intensive tasks making battery lifetime a major bottleneck. In this paper, we present a technique called dynamic AoV lookahead for reducing wireless interface power consumption up to 50% while playing a popular, yet resource intensive, mobile multiplayer games.
Decision-Making Models, Decision Support And Problem Solving, Mark R. Lehto, Fiona Fui-Hoon Nah, Ji Soo Yi
Decision-Making Models, Decision Support And Problem Solving, Mark R. Lehto, Fiona Fui-Hoon Nah, Ji Soo Yi
Research Collection School Of Computing and Information Systems
This chapter focuses on the broad topic of human decision making. Decision making is often viewed as a stage of human information processing because people must gather, organize, and combine information from various sources to make decisions. However, as decisions grow more complex, information processing actually becomes part of decision making, and methods of decision sup-port that help decision makers process information become of growing importance. Decision making also overlaps with problem solving. The point where decision making becomes problem solving is fuzzy, but many decisions require problem solving, and the opposite is true as well. Cognitive models of problem …
Human: Creating Memorable Fingerprints Of Mobile Users, Gupta Payas, Kiat Wee Tan, Narayanasamy Ramasubbu, David Lo, Debin Gao, Rajesh Krishna Balan
Human: Creating Memorable Fingerprints Of Mobile Users, Gupta Payas, Kiat Wee Tan, Narayanasamy Ramasubbu, David Lo, Debin Gao, Rajesh Krishna Balan
Research Collection School Of Computing and Information Systems
In this paper, we present a new way of generating behavioral (not biometric) fingerprints from the cellphone usage data. In particular, we explore if the generated behavioral fingerprints are memorable enough to be remembered by end users. We built a system, called HuMan, that generates fingerprints from cellphone data. To test HuMan, we conducted an extensive user study that involved collecting about one month of continuous usage data (including calls, SMSes, application usage patterns etc.) from 44 Symbian and Android smartphone users. We evaluated the memorable fingerprints generated from this rich multi-context data by asking each user to answer various …
Quality And Leniency In Online Collaborative Rating Systems, Hady W. Lauw, Ee Peng Lim, Ke Wang
Quality And Leniency In Online Collaborative Rating Systems, Hady W. Lauw, Ee Peng Lim, Ke Wang
Research Collection School Of Computing and Information Systems
The emerging trend of social information processing has resulted in Web users’ increased reliance on user-generated content contributed by others for information searching and decision making. Rating scores, a form of user-generated content contributed by reviewers in online rating systems, allow users to leverage others’ opinions in the evaluation of objects. In this article, we focus on the problem of summarizing the rating scores given to an object into an overall score that reflects the object’s quality. We observe that the existing approaches for summarizing scores largely ignores the effect of reviewers exercising different standards in assigning scores. Instead of …
Hierarchical Fuzzy Logic System For Implementing Maintenance Schedules Of Offshore Power Systems, C. S. Chang, Zhaoxia Wang, Fan Yang, W. W. Tan
Hierarchical Fuzzy Logic System For Implementing Maintenance Schedules Of Offshore Power Systems, C. S. Chang, Zhaoxia Wang, Fan Yang, W. W. Tan
Research Collection School Of Computing and Information Systems
Smart grid provides the technology for modernizing electricity delivery systems by using distributed and computer-based remote sensing, control and automation, and two-way communications. Potential benefits of the technology are that the smart grid's central control will now be able to control and operate many remote power plant, optimize the overall asset utilization and operational efficiently. In this paper, we propose an innovative approach for the smart grid to handle uncertainties arising from condition monitoring and maintenance of power plant. The approach uses an adaptive maintenance advisor and a system-maintenance optimizer for designing/implementing optimized condition-based maintenance activities, and collectively handles operational …
Utility-Based Bandwidth Adaptation In Mission-Oriented Wireless Sensor Networks, Sharanya Eswaran, Archan Misra, Flavio Bergamaschi, Thomas La Porta
Utility-Based Bandwidth Adaptation In Mission-Oriented Wireless Sensor Networks, Sharanya Eswaran, Archan Misra, Flavio Bergamaschi, Thomas La Porta
Research Collection School Of Computing and Information Systems
This paper develops a utility-based optimization framework for resource sharing by multiple competing missions in a mission-oriented wireless sensor network (WSN) environment. Prior work on network utility maximization (NUM) based optimization has focused on unicast flows with sender-based utilities in either wireline or wireless networks. In this work, we develop a generalized NUM model to consider three key new features observed in mission-centric WSN environments: i) the definition of the utility of an individual mission (receiver) as a joint function of data from multiple sensor sources ii) the consumption of each senders (sensor) data by multiple missions and iii) the …
Improved Duplicate Bug Report Identification, Yuan Tian, Chengnian Sun, David Lo
Improved Duplicate Bug Report Identification, Yuan Tian, Chengnian Sun, David Lo
Research Collection School Of Computing and Information Systems
Bugs are prevalent in software systems. To improve the reliability of software systems, developers often allow end users to provide feedback on bugs that they encounter. Users could perform this by sending a bug report in a bug report management system like Bugzilla. This process however is uncoordinated and distributed, which means that many users could submit bug reports reporting the same problem. These are referred to as duplicate bug reports. The existence of many duplicate bug reports may cause much unnecessary manual efforts as often a triager would need to manually tag bug reports as being duplicates. Recently, there …
Secds: A Secure Epc Discovery Services System In Epcglobal Network, Jie Shi, Darren Sim, Yingjiu Li, Robert H. Deng
Secds: A Secure Epc Discovery Services System In Epcglobal Network, Jie Shi, Darren Sim, Yingjiu Li, Robert H. Deng
Research Collection School Of Computing and Information Systems
In recent years, the Internet of Things (IOT) has drawn considerable attention from the industrial and research communities. Due to the vast amount of data generated through IOT devices and users, there is an urgent need for an effective search engine to help us make sense of this massive amount of data. With this motivation, we begin our initial works on developing a secure and efficient search engine (SecDS) based on EPC Discovery Services (EPCDS) for EPCglobal network, an integral part of IOT. SecDS is designed to provide a bridge between different partners of supply chains to share information while …
Summarizing Rushes Videos By Motion, Object, And Event Understanding, Feng Wang, Chong-Wah Ngo
Summarizing Rushes Videos By Motion, Object, And Event Understanding, Feng Wang, Chong-Wah Ngo
Research Collection School Of Computing and Information Systems
Rushes footages are considered as cheap gold mine with the potential for reuse in broadcasting and filmmaking industries. However, mining "gold" from unedited videos such as rushes is challenging as the reusable segments are buried in a large set of redundant information. In this paper, we propose a unified framework for stock footage classification and summarization to support video editors in navigating and organizing rushes videos. Our approach is composed of two steps. First, we employ motion features to filter the undesired camera motion and locate the stock footage. A hierarchical hidden Markov model (HHMM) is proposed to model the …
On Limitations Of Designing Usable Leakage-Resilient Password Systems: Attacks, Principles And Usability, Qiang Yan, Jin Han, Yingjiu Li, Huijie, Robert Deng
On Limitations Of Designing Usable Leakage-Resilient Password Systems: Attacks, Principles And Usability, Qiang Yan, Jin Han, Yingjiu Li, Huijie, Robert Deng
Research Collection School Of Computing and Information Systems
The design of leakage-resilient password systems (LRPSes) in the absence of trusted devices remains a challenging problem today despite two decades of intensive research in the security community. In this paper, we investigate the inherent tradeoff between security and usability in designing LRPS. First, we demonstrate that most of the existing LRPS systems are subject to two types of generic attacks - brute force and statistical attacks, whose power has been underestimated in the literature. Second, in order to defend against these two generic attacks, we introduce five design principles that are necessary to achieve leakage resilience in the absence …
Mitigating The True Cost Of Advertisement-Supported "Free" Mobile Applications, Azeem J. Khan, Vigneshwaran Subbaraju, Archan Misra, Srinivasan Seshan
Mitigating The True Cost Of Advertisement-Supported "Free" Mobile Applications, Azeem J. Khan, Vigneshwaran Subbaraju, Archan Misra, Srinivasan Seshan
Research Collection School Of Computing and Information Systems
The dominant, "ad-supported free application" model for consumer-oriented mobile computing is seemingly imperiled by the growing global adoption of metered data pricing plans by mobile operators. In this paper, we explore the opportunities for addressing this emerging conflict by enabling more intelligent ad delivery to such mobile devices. One especially promising path is leveraging the increasing availability of heterogeneous wireless access technologies (e.g., WiFi, femtocells) that offer less restrictive and more energy-efficient transport substrates for such data traffic. To understand the possibilities that exist, we first profile the advertisement traffic characteristics for some of the most popular advertisement-supported consumer applications, …
Does Complexity Deter Customer-Focus?, Sendil K. Ethiraj, Narayanasamy Ramasubbu, M. S. Krishnan
Does Complexity Deter Customer-Focus?, Sendil K. Ethiraj, Narayanasamy Ramasubbu, M. S. Krishnan
Research Collection School Of Computing and Information Systems
Economic models suggest that firms use a simple cost-benefit calculation to evaluate customer requests for new product features, but an extensive organizational literature shows the decision to implement innovation is more nuanced. We address this theoretical tension by studying how firms respond to customer requests for incremental product innovations, and how these responses change when the requested innovation is complex. Using large sample empirical analyses combined with detailed qualitative data drawn from interviews, we find considerable variance in the relationship between customer demands, complexity, and investments in incremental innovations. The qualitative study revealed the importance of organization structures, competitive pressures, …
Formal Modeling And Validation Of Stateflow Diagrams, Chunqing Chen, Jun Sun, Yang Liu, Jin Song Dong, Manchun Zheng
Formal Modeling And Validation Of Stateflow Diagrams, Chunqing Chen, Jun Sun, Yang Liu, Jin Song Dong, Manchun Zheng
Research Collection School Of Computing and Information Systems
Stateflow is an industrial tool for modeling and simulating control systems in model-based development. In this paper, we present our latest work on automatic verification of Stateflow using model-checking techniques. We propose an approach to systematically translate Stateflow diagrams to a formal modeling language called CSP# by precisely following Stateflow’s execution semantics, which is described by examples. A translator is developed inside the Process Analysis Toolkit (PAT) model checker to automate this process with the support of various Stateflow advanced modeling features. Formal analysis can be conducted on the transformed CSP# with PAT’s simulation and model-checking power. Using our approach, …
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 …
A Survey On Privacy Frameworks For Rfid Authentication, Chunhua Su, Yingjiu Li, Yunlei Zhao, Robert H. Deng, Yiming Zhao, Jianying Zhou
A Survey On Privacy Frameworks For Rfid Authentication, Chunhua Su, Yingjiu Li, Yunlei Zhao, Robert H. Deng, Yiming Zhao, Jianying Zhou
Research Collection School Of Computing and Information Systems
Due to rapid growth of RFID system applications, the security and privacy problems become more and more important to guarantee the validity of RFID systems. Without introducing proper privacy protection mechanisms, widespread deployment of RFID could raise privacy concerns to both companies and individuals. As a fundamental issue for the design and analysis of secure RFID systems, some formal RFID privacy frameworks were proposed in recent years to give the principles for evaluating the security and privacy in RFID system. However, readers can be confused with so many proposed frameworks. In this paper, we make a comparative and survey study …
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 …
A New Efficient Optimistic Fair Exchange Protocol Without Random Oracles, Qiong Huang, Guomin Yang, Duncan S. Wong, Willy Susilo
A New Efficient Optimistic Fair Exchange Protocol Without Random Oracles, Qiong Huang, Guomin Yang, Duncan S. Wong, Willy Susilo
Research Collection School Of Computing and Information Systems
Optimistic fair exchange (OFE) is a kind of protocols to solve the problem of fair exchange between two parties. Most of the previous work on this topic are provably secure in the random oracle model. In this work, we propose a new construction of OFE from another cryptographic primitive, called time capsule signature. The construction is efficient and brings almost no overhead other than the primitive itself. The security of our new construction is based on that of the underlying primitive without relying on the random oracle heuristic. Applying our generic construction to the time capsule signature scheme recently proposed …
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 …