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Articles 8191 - 8220 of 10089
Full-Text Articles in Entire DC Network
More Important Than Results, Bert De Reyck, Zeger Degraeve
More Important Than Results, Bert De Reyck, Zeger Degraeve
Research Collection Lee Kong Chian School Of Business
Managing only for results leads to crises, say Bert De Reyck and Zeger Degraeve. Reward people for the decisions they make, not just for the results they create.
Prediction Of Protein Subcellular Localization: A Machine Learning Approach, Kyong Jin Shim
Prediction Of Protein Subcellular Localization: A Machine Learning Approach, Kyong Jin Shim
Research Collection School Of Computing and Information Systems
Subcellular localization is a key functional characteristic of proteins. Optimally combining available information is one of the key challenges in today's knowledge-based subcellular localization prediction approaches. This study explores machine learning approaches for the prediction of protein subcellular localization that use resources concerning Gene Ontology and secondary structures. Using the spectrum kernel for feature representation of amino acid sequences and secondary structures, we explore an SVM-based learning method that classifies six subcellular localization sites: endoplasmic reticulum, extracellular, Golgi, membrane, mitochondria, and nucleus.
Efficient Mutual Nearest Neighbor Query Processing For Moving Object Trajectories, Yunjun Gao, Baihua Zheng, Gencai Chen, Qing Li, Chun Chen, Gang Chen
Efficient Mutual Nearest Neighbor Query Processing For Moving Object Trajectories, Yunjun Gao, Baihua Zheng, Gencai Chen, Qing Li, Chun Chen, Gang Chen
Research Collection School Of Computing and Information Systems
Given a set D of trajectories, a query object q, and a query time extent Γ, a mutual (i.e., symmetric) nearest neighbor (MNN) query over trajectories finds from D, the set of trajectories that are among the k1 nearest neighbors (NNs) of q within Γ, and meanwhile, have q as one of their k2 NNs. This type of queries is useful in many applications such as decision making, data mining, and pattern recognition, as it considers both the proximity of the trajectories to q and the proximity of q to the trajectories. In this paper, we first formalize MNN search …
Designing The Dynamics Of Service Innovations, Arcot Desai Narasimhalu
Designing The Dynamics Of Service Innovations, Arcot Desai Narasimhalu
Research Collection School Of Computing and Information Systems
There is no serious tool available to design service innovations even as it is gaining in important attention from the academic and industrial worlds. This paper presents a method that is specifically developed to help service innovators plan and design their innovations. The method recognizes the dependencies that exist across a service provider, customers and suppliers and help identify potential inconsistencies in the design of service innovations.
Using Hadoop And Cassandra For Taxi Data Analytics: A Feasibility Study, Alvin Jun Yong Koh, Xuan Khoa Nguyen, C. Jason Woodard
Using Hadoop And Cassandra For Taxi Data Analytics: A Feasibility Study, Alvin Jun Yong Koh, Xuan Khoa Nguyen, C. Jason Woodard
Research Collection School Of Computing and Information Systems
This paper reports on a preliminary study to assess the feasibility of using the Open Cirrus Cloud Computing Research testbed to provide offline and online analytical support for taxi fleet operations. In the study, we benchmarked the performance gains from distributing the offline analysis of GPS location traces over multiple virtual machines using the Apache Hadoop implementation of the MapReduce paradigm. We also explored the use of the Apache Cassandra distributed database system for online retrieval of vehicle trace data. While configuring the testbed infrastructure was straightforward, we encountered severe I/O bottlenecks in running the benchmarks due to the lack …
Stevent: Spatio-Temporal Event Model For Social Network Discovery, Hady W. Lauw, Ee Peng Lim, Hwee Hwa Pang, Teck-Tim Tan
Stevent: Spatio-Temporal Event Model For Social Network Discovery, Hady W. Lauw, Ee Peng Lim, Hwee Hwa Pang, Teck-Tim Tan
Research Collection School Of Computing and Information Systems
Spatio-temporal data concerning the movement of individuals over space and time contains latent information on the associations among these individuals. Sources of spatio-temporal data include usage logs of mobile and Internet technologies. This article defines a spatio-temporal event by the co-occurrences among individuals that indicate potential associations among them. Each spatio-temporal event is assigned a weight based on the precision and uniqueness of the event. By aggregating the weights of events relating two individuals, we can determine the strength of association between them. We conduct extensive experimentation to investigate both the efficacy of the proposed model as well as the …
Efficient Processing Of Exact Top-K Queries Over Disk-Resident Sorted Lists, Hwee Hwa Pang, Xuhua Ding, Baihua Zheng
Efficient Processing Of Exact Top-K Queries Over Disk-Resident Sorted Lists, Hwee Hwa Pang, Xuhua Ding, Baihua Zheng
Research Collection School Of Computing and Information Systems
The top-k query is employed in a wide range of applications to generate a ranked list of data that have the highest aggregate scores over certain attributes. As the pool of attributes for selection by individual queries may be large, the data are indexed with per-attribute sorted lists, and a threshold algorithm (TA) is applied on the lists involved in each query. The TA executes in two phases--find a cut-off threshold for the top-k result scores, then evaluate all the records that could score above the threshold. In this paper, we focus on exact top-k queries that involve monotonic linear …
Mining Antagonistic Communities From Social Networks, Kuan Zhang, David Lo, Ee Peng Lim
Mining Antagonistic Communities From Social Networks, Kuan Zhang, David Lo, Ee Peng Lim
Research Collection School Of Computing and Information Systems
During social interactions in a community, there are often sub-communities that behave in opposite manner. These antagonistic sub-communities could represent groups of people with opposite tastes, factions within a community distrusting one another, etc. Taking as input a set of interactions within a community, we develop a novel pattern mining approach that extracts for a set of antagonistic sub-communities. In particular, based on a set of user specified thresholds, we extract a set of pairs of sub-communities that behave in opposite ways with one another. To prevent a blow up in these set of pairs, we focus on extracting a …
A Hybrid Method To Detect Deflation Fraud In Cost-Per-Action Online Advertising, Xuhua Ding
A Hybrid Method To Detect Deflation Fraud In Cost-Per-Action Online Advertising, Xuhua Ding
Research Collection School Of Computing and Information Systems
Web advertisers prefer the cost-per-action (CPA) advertisement model whereby an advertiser pays a web publisher according to the actual amount of transactions, rather than the volume of advertisement clicks. The main obstacle for a wide deployment of this model is the deflation fraud. Namely, a dishonest advertiser under-reports the transaction count in order to discharge less. In this paper, we present a mechanism to detect such a fraud using a hybrid of cryptography and probability tools. With the assistance from a small number of users, the publisher can detect deflation fraud with a success probability growing exponentially with the fraud …
On Trustworthiness Of Cpu Usage Metering And Accounting, Mei Liu, Xuhua Ding
On Trustworthiness Of Cpu Usage Metering And Accounting, Mei Liu, Xuhua Ding
Research Collection School Of Computing and Information Systems
In the envisaged utility computing paradigm, a user taps a service provider’s computing resources to accomplish her tasks, without deploying the needed hardware and software in her own IT infrastructure. To make the service profitable, the service provider charges the user based on the resources consumed. A commonly billed resource is CPU usage. A key factor to ensure the success of such a business model is the trustworthiness of the resource metering scheme. In this paper, we provide a systematic study on the trustworthiness of CPU usage metering. Our results show that the metering schemes in commodity operating systems should …
Player Performance Prediction In Massively Multiplayer Online Role-Playing Games (Mmorpgs), Kyong Jin Shim, Richa Sharan, Jaideep Srivastava
Player Performance Prediction In Massively Multiplayer Online Role-Playing Games (Mmorpgs), Kyong Jin Shim, Richa Sharan, Jaideep Srivastava
Research Collection School Of Computing and Information Systems
In this study, we propose a comprehensive performance management tool for measuring and reporting operational activities of game players. This study uses performance data of game players in EverQuest II, a popular MMORPG developed by Sony Online Entertainment, to build performance prediction models forgame players. The prediction models provide a projection of player’s future performance based on his past performance, which is expected to be a useful addition to existing player performance monitoring tools. First, we show that variations of PECOTA [2] and MARCEL [3], two most popular baseball home run prediction methods, can be used for game player performance …
Visualizing And Exploring Evolving Information Networks In Wikipedia, Ee Peng Lim, Agus Trisnajaya Kwee, Nelman Lubis Ibrahim, Aixin Sun, Anwitaman Datta, Kuiyu Chang, Maureen Maureen
Visualizing And Exploring Evolving Information Networks In Wikipedia, Ee Peng Lim, Agus Trisnajaya Kwee, Nelman Lubis Ibrahim, Aixin Sun, Anwitaman Datta, Kuiyu Chang, Maureen Maureen
Research Collection School Of Computing and Information Systems
Information networks in Wikipedia evolve as users collaboratively edit articles that embed the networks. These information networks represent both the structure and content of community’s knowledge and the networks evolve as the knowledge gets updated. By observing the networks evolve and finding their evolving patterns, one can gain higher order knowledge about the networks and conduct longitudinal network analysis to detect events and summarize trends. In this paper, we present SSNetViz+, a visual analytic tool to support visualization and exploration of Wikipedia’s information networks. SSNetViz+ supports time-based network browsing, content browsing and search. Using a terrorism information network as an …
Weakly-Supervised Hashing In Kernel Space, Yadong Mu, Jialie Shen, Shuicheng Yan
Weakly-Supervised Hashing In Kernel Space, Yadong Mu, Jialie Shen, Shuicheng Yan
Research Collection School Of Computing and Information Systems
The explosive growth of the vision data motivates the recent studies on efficient data indexing methods such as locality-sensitive hashing (LSH). Most existing approaches perform hashing in an unsupervised way. In this paper we move one step forward and propose a supervised hashing method, i.e., the LAbel-regularized Max-margin Partition (LAMP) algorithm. The proposed method generates hash functions in weakly-supervised setting, where a small portion of sample pairs are manually labeled to be “similar” or “dissimilar”. We formulate the task as a Constrained Convex-Concave Procedure (CCCP), which can be relaxed into a series of convex sub-problems solvable with efficient Quadratic-Program (QP). …
Bringing Ideas To Life: Tapping On Design's Strategic Value, Knowledge@Smu
Bringing Ideas To Life: Tapping On Design's Strategic Value, Knowledge@Smu
Knowledge@SMU
Before Apple can wow its legions of devotees and win over new ones with its latest offerings, it needs a group of industrial designers to work their magic first. Highly integral to a product’s success yet often falling below the radar screen as a profession, industrial design involves a unique combination of factors – from studying market trends and human behaviour to conjuring new product categories. But what does it take for organisations to cultivate industrial design as a key competency?
Entrepreneurs Share Their Formula For Success: Failure, Knowledge@Smu
Entrepreneurs Share Their Formula For Success: Failure, Knowledge@Smu
Knowledge@SMU
Entrepreneurship is so often associated with risk-taking that in safety-seeking Singapore, it would be quite natural to assume a rather weak spirit of enterprise. Such an assumption, of course, would only be partly true. After all, successful entrepreneurs need to possess more than just an appetite for risk; they need to be skilled at harvesting talent, tapping on their networks and navigating around business environments. Can such successes be taught? Panellists at a recent forum seem to think so – but only to a limited extent. They draw distinctions between formulaic prescriptions and advice, saying that while there are no …
Successful Technopreneurship 2.0: Beyond Buzzwords And Technology, Knowledge@Smu
Successful Technopreneurship 2.0: Beyond Buzzwords And Technology, Knowledge@Smu
Knowledge@SMU
If entrepreneurship requires true grit, then technopreneurship – a new-age term that describes entrepreneurship in technology sectors – is quite likely the ultimate test, given the highly dynamic nature of technological innovation and its dependency on a host of external factors. Would the iPhone have succeeded without the App store? Could the Blu-Ray have taken off without the backing of major Hollywood studios? Will people buy GPS systems without maps? Such are considerations that technopreneurs have little influence over, but must always bear in mind because technology, in and of itself, bears little meaning for end-consumers.
Driving Business Performance: Why Marketers Need A Multi-Disciplinary Approach, Knowledge@Smu
Driving Business Performance: Why Marketers Need A Multi-Disciplinary Approach, Knowledge@Smu
Knowledge@SMU
Much has been said about Apple's 'magical' ability to command a following for almost anything that they sell (right down to the cables and power adapter). However, few people understand – much less appreciate – the science behind such 'magic'. Some might say that Apple produces some of the most original products. These people forget that Apple did not invent laptops, MP3 players, smart phones or tablet computers. Is it clever marketing then? Perhaps so, but "marketing", as understood in its traditional sense, would not offer the full picture. According to Rajendra K. Srivastava, Provost and Deputy President for Academic …
Lean Thinking: A Case For 'Rubber Band' Organisations, Knowledge@Smu
Lean Thinking: A Case For 'Rubber Band' Organisations, Knowledge@Smu
Knowledge@SMU
During bad economic times, the knee-jerk reaction of most organisations is to stay lean. This usually involves cutting financial costs, trimming headcount and renegotiating wages; unfortunately, all short-lived means of trimming the fat. What organisations should do if they want to keep lean is to look within. Many a time, inefficiencies along internal processes chalk up resources that could have gone towards increasing productivity. Organisations that refuse to examine these issues create not only excessive costs, but they also breed a culture where there is no pressure to improve – much like a dangling rubber band, according to John S. …
Lack Of Consensus Among Competency Ratings Of The Same Occupation: Noise Or Substance?, Filip Lievens, Juan I. Sanchez, Dave Bartram, Anna Brown
Lack Of Consensus Among Competency Ratings Of The Same Occupation: Noise Or Substance?, Filip Lievens, Juan I. Sanchez, Dave Bartram, Anna Brown
Research Collection Lee Kong Chian School Of Business
Although rating differences among incumbents of the same occupation have traditionally been viewed as error variance in the work analysis domain, such differences might often capture substantive discrepancies in how incumbents approach their work. This study draws from job crafting, creativity, and role theories to uncover situational factors (i.e., occupational activities, context, and complexity) related to differences among competency ratings of the same occupation. The sample consisted of 192 incumbents from 64 occupations. Results showed that 25% of the variance associated with differences in competency ratings of the same occupation was related to the complexity, the context, and primarily the …
Selective Intervention And Economic Re-Engineering: Lessons Form Singapore's Parks In Indonesia And India, Caroline Yeoh, Siang Yeung Wong
Selective Intervention And Economic Re-Engineering: Lessons Form Singapore's Parks In Indonesia And India, Caroline Yeoh, Siang Yeung Wong
Research Collection Lee Kong Chian School Of Business
No abstract provided.
Extending Economic Boundaries: A Note On Singapore's Gambit In Indonesia And India, Caroline Yeoh, Siang Yeung Wong
Extending Economic Boundaries: A Note On Singapore's Gambit In Indonesia And India, Caroline Yeoh, Siang Yeung Wong
Research Collection Lee Kong Chian School Of Business
No abstract provided.
A Comparative Exploration Of Freebsd Bug Lifetimes, Gargi Bougie, Christoph Treude, Daniel M. Germán, Margaret-Anne Storey
A Comparative Exploration Of Freebsd Bug Lifetimes, Gargi Bougie, Christoph Treude, Daniel M. Germán, Margaret-Anne Storey
Research Collection School Of Computing and Information Systems
In this paper, we explore the viability of mining the basic data provided in bug repositories to predict bug lifetimes. We follow the method of Lucas D. Panjer as described in his paper, Predicting Eclipse Bug Lifetimes. However, in place of Eclipse data, the FreeBSD bug repository is used. We compare the predictive accuracy of five different classification algorithms applied to the two data sets. In addition, we propose future work on whether there is a more informative way of classifying bugs than is considered by current bug tracking systems.
National Venture Competition And Technopreneurship Development In Malaysia, Wee Liang Tan, Karl Egge, Osman Mohamed
National Venture Competition And Technopreneurship Development In Malaysia, Wee Liang Tan, Karl Egge, Osman Mohamed
Research Collection Lee Kong Chian School Of Business
In the global slowdown, there is a revived interest in entrepreneurship development particularly in new startups based on technology. Many countries see this as a basis for future growth and competitiveness. To encourage technology-based entrepreneurship, also called technopreneurship, business plan competitions could be one strategy. Typically one finds business plan competitions either for members of a region of a country (e.g.,SW Pennsylvania); or, as an extension of University programs in business and entrepreneurship (e.g., MIT). Certainly such competitions can generate and exploit interest in entrepreneurship. In Malaysia, beginning in 2001, a business plan competition with a difference has been established. …
Structural And Informal Knowledge Acquisition And Dissemination In Organisational Learning: An Exploratory Analysis, Siu Loon Hoe
Structural And Informal Knowledge Acquisition And Dissemination In Organisational Learning: An Exploratory Analysis, Siu Loon Hoe
Research Collection School Of Computing and Information Systems
PurposeThe topic of organizational learning is populated with many theories and models; many relate to the enduring organizational learning framework consisting of knowledge acquisition, knowledge dissemination, and knowledge use. However, most of the research either emphasizes structural knowledge acquisition and dissemination as a composite construct, or focuses solely on the structural aspect of knowledge acquisition and dissemination. The primary objective of this study is to develop and test a model of organizational learning that incorporates both structural and informal knowledge acquisition and dissemination and as separate processes. The predictors of these processes are also proposedDesign/methodology/approachA model of organizational learning that …
Innovative Entrepreneurs Workbook, Arcot Desai Narasimhalu
Innovative Entrepreneurs Workbook, Arcot Desai Narasimhalu
Research Collection School Of Computing and Information Systems
The workbook provides a step by step approach to identifying innovation opportunities and the key aspects of Innovation development
The Text Through Time, Jack Tsen-Ta Lee
The Text Through Time, Jack Tsen-Ta Lee
Research Collection Yong Pung How School Of Law
The text of a written constitution or bill of rights is prone to ‘drift’ or ‘slippage’ in the meanings of terms. Even if such meanings have not altered over time, because of changes in attitudes and values there may be disagreement with the text’s framers as to the scenarios that are covered or not covered by terms. This article submits that the distinction between the connotation and denotation of a term that has been applied in Australian jurisprudence is useful for determining the meaning of the text through time. The connotation of a term is the generally unchanging bundle of …
Global Project Management: Pedagogy For Distributed Teams, Benjamin Kok Siew Gan, Randy Weinberg, Selma Limam Mansar
Global Project Management: Pedagogy For Distributed Teams, Benjamin Kok Siew Gan, Randy Weinberg, Selma Limam Mansar
Research Collection School Of Computing and Information Systems
This paper reflects on pedagogy for teaching collaborative global projects across universities in different countries. Over a period of four years, students at three universities - one in the United States, one in Singapore and one in the Middle East - enrolled in a course called "Global Project Management". In this course, coordinated across locations, students experience a global project with distant team members. We describe the course experience and student perceptions of the requisite skills, collaboration tools and challenges bearing on effective global project work.
Exploiting Query Logs For Cross-Lingual Query Suggestions., Wei Gao, Cheng Niu, Jian-Yun Nie, Ming Zhou, Kam-Fai Wong, Hsiao-Wuen Hon
Exploiting Query Logs For Cross-Lingual Query Suggestions., Wei Gao, Cheng Niu, Jian-Yun Nie, Ming Zhou, Kam-Fai Wong, Hsiao-Wuen Hon
Research Collection School Of Computing and Information Systems
Query suggestion aims to suggest relevant queries for a given query, which helps users better specify their information needs. Previous work on query suggestion has been limited to the same language. In this article, we extend it to cross-lingual query suggestion (CLQS): for a query in one language, we suggest similar or relevant queries in other languages. This is very important to the scenarios of cross-language information retrieval (CLIR) and other related cross-lingual applications. Instead of relying on existing query translation technologies for CLQS, we present an effective means to map the input query of one language to queries of …
Time-Bound Hierarchical Key Assignment: An Overview, Wen Tao Zhu, Robert H. Deng, Jianying Zhou, Feng Bao
Time-Bound Hierarchical Key Assignment: An Overview, Wen Tao Zhu, Robert H. Deng, Jianying Zhou, Feng Bao
Research Collection School Of Computing and Information Systems
The access privileges in distributed systems can be effectively organized as a partial-order hierarchy that consists of distinct security classes, and the access rights are often designated with certain temporal restrictions. The time-bound hierarchical key assignment problem is to assign distinct cryptographic keys to distinct security classes according to their privileges so that users from a higher class can use their class key to derive the keys of lower classes, and these keys are time-variant with respect to sequentially allocated temporal units called time slots. In this paper, we present the involved principle, survey the state of the art, and …
A Scalable And Energy-Efficient Context Monitoring Framework For Mobile Personal Sensor Networks, Seungwoo Kang, Jinwon Lee, Hyukjae Jang, Youngki Lee, Souneil Park, Junehwa Song
A Scalable And Energy-Efficient Context Monitoring Framework For Mobile Personal Sensor Networks, Seungwoo Kang, Jinwon Lee, Hyukjae Jang, Youngki Lee, Souneil Park, Junehwa Song
Research Collection School Of Computing and Information Systems
The key feature of many emerging pervasive computing applications is to proactively provide services to mobile individuals. One major challenge in providing users with proactive services lies in continuously monitoring users’ context based on numerous sensors in their PAN/BAN environments. The context monitoring in such environments imposes heavy workloads on mobile devices and sensor nodes with limited computing and battery power. We present SeeMon, a scalable and energy-efficient context monitoring framework for sensor-rich, resource-limited mobile environments. Running on a personal mobile device, SeeMon effectively performs context monitoring involving numerous sensors and applications. On top of SeeMon, multiple applications on the …