Zero++: Harnessing The Power Of Zero Appearances To Detect Anomalies In Large-Scale Data Sets,
2016
Singapore Management University
Zero++: Harnessing The Power Of Zero Appearances To Detect Anomalies In Large-Scale Data Sets, Guansong Pang, Kai Ming Ting, David Albrecht, Huidong Jin
Research Collection School Of Computing and Information Systems
This paper introduces a new unsupervised anomaly detector called ZERO++ which employs the number of zero appearances in subspaces to detect anomalies in categorical data. It is unique in that it works in regions of subspaces that are not occupied by data; whereas existing methods work in regions occupied by data. ZERO++ examines only a small number of low dimensional subspaces to successfully identify anomalies. Unlike existing frequencybased algorithms, ZERO++ does not involve subspace pattern searching. We show that ZERO++ is better than or comparable with the state-of-the-art anomaly detection methods over a wide range of real-world categorical and numeric …
Impact Of Isp, Bpr, And Customization On Erp Performance In Manufacturing Smes Of Korea,
2016
Singapore Management University
Impact Of Isp, Bpr, And Customization On Erp Performance In Manufacturing Smes Of Korea, Soon-Goo Hong, Keng Siau, Jong-Weon Kim
Research Collection School Of Computing and Information Systems
Purpose: This paper aims to assess how enterprise resource planning (ERP) performance of Korean small and medium enterprises in manufacturing differs according to different levels of business process reengineering (BPR), information strategic planning (ISP) and ERP customization. Design/methodology/approach: A questionnaire survey was carried out in this research. Responses from 96 small and medium manufacturing companies that have adopted ERP systems were analyzed. Findings: The results of this study suggest that ISP and BPR implementation are positively correlated to ERP performance. Originality/value: While consulting and customization costs have positive impacts on ERP performance, the level of customization does not influence performance. …
Answering Why-Not And Why Questions On Reverse Top-K Queries,
2016
Zhejiang University
Answering Why-Not And Why Questions On Reverse Top-K Queries, Qing Liu, Yunjun Gao, Gang Chen, Baihua Zheng, Linlin Zhou
Research Collection School Of Computing and Information Systems
Why-not and why questions can be posed by database users to seek clarifications on unexpected query results. Specifically, why-not questions aim to explain why certain expected tuples are absent from the query results, while why questions try to clarify why certain unexpected tuples are present in the query results. This paper systematically explores the why-not and why questions on reverse top-k queries, owing to its importance in multi-criteria decision making. We first formalize why-not questions on reverse top-k queries, which try to include the missing objects in the reverse top-k query results, and then, we propose a unified framework called …
Pairwise Relation Classification With Mirror Instances And A Combined Convolutional Neural Network,
2016
Singapore Management University
Pairwise Relation Classification With Mirror Instances And A Combined Convolutional Neural Network, Jianfei Yu, Jing Jiang
Research Collection School Of Computing and Information Systems
Relation classification is the task of classifying the semantic relations between entity pairs in text. Observing that existing work has not fully explored using different representations for relation instances, especially in order to better handle the asymmetry of relation types, in this paper, we propose a neural network based method for relation classification that combines the raw sequence and the shortest dependency path representations of relation instances and uses mirror instances to perform pairwise relation classification. We evaluate our proposed models on two widely used datasets: SemEval-2010 Task 8 and ACE-2005. The empirical results show that our combined model together …
Efficient Online Summarization Of Large-Scale Dynamic Networks,
2016
Chinese Academic of Sciences
Efficient Online Summarization Of Large-Scale Dynamic Networks, Qiang Qu, Siyuan Liu, Feida Zhu, Christian S. Jensen
Research Collection School Of Computing and Information Systems
Information diffusion in social networks is often characterized by huge participating communities and viral cascades of high dynamicity. To observe, summarize, and understand the evolution of dynamic diffusion processes in an informative and insightful way is a challenge of high practical value. However, few existing studies aim to summarize networks for interesting dynamic patterns. Dynamic networks raise new challenges not found in static settings, including time sensitivity, online interestingness evaluation, and summary traceability, which render existing techniques inadequate. We propose dynamic network summarization to summarize dynamic networks with millions of nodes by only capturing the few most interesting nodes or …
From Footprint To Evidence: An Exploratory Study Of Mining Social Data For Credit Scoring,
2016
University of Science and Technology of China
From Footprint To Evidence: An Exploratory Study Of Mining Social Data For Credit Scoring, Guangming Guo, Feida Zhu, Enhong Chen, Qi Liu, Le Wu, Chu Guan
Research Collection School Of Computing and Information Systems
With the booming popularity of online social networks like Twitter and Weibo, online user footprints are accumulating rapidly on the social web. Simultaneously, the question of how to leverage the large-scale user-generated social media data for personal credit scoring comes into the sight of both researchers and practitioners. It has also become a topic of great importance and growing interest in the P2P lending industry. However, compared with traditional financial data, heterogeneous social data presents both opportunities and challenges for personal credit scoring. In this article, we seek a deep understanding of how to learn users’ credit labels from social …
Cast2face: Assigning Character Names Onto Faces In Movie With Actor-Character Correspondence,
2016
Singapore Management University
Cast2face: Assigning Character Names Onto Faces In Movie With Actor-Character Correspondence, Guangyu Gao, Mengdi Xu, Jialie Shen, Huangdong Ma, Shuicheng Yan
Research Collection School Of Computing and Information Systems
Automatically identifying characters in movies has attracted researchers' interest and led to several significant and interesting applications. However, due to the vast variation in character appearance as well as the weakness and ambiguity of available annotation, it is still a challenging problem. In this paper, we investigate this problem with the supervision of actor-character name correspondence provided by the movie cast. Our proposed framework, namely, Cast2Face, is featured by: 1) we restrict the assigned names within the set of character names in the cast; 2) for each character, by using the corresponding actor and movie name as keywords, we retrieve …
Careermapper: An Automated Resume Evaluation Tool,
2016
Singapore Management University
Careermapper: An Automated Resume Evaluation Tool, Vivian Lai, Kyong Jin Shim, Richard J. Oentaryo, Philips K. Prasetyo, Casey Vu, Ee-Peng Lim, David Lo
Research Collection School Of Computing and Information Systems
The advent of the Web brought about major changes in the way people search for jobs and companies look for suitable candidates. As more employers and recruitment firms turn to the Web for job candidate search, an increasing number of people turn to the Web for uploading and creating their online resumes. Resumes are often the first source of information about candidates and also the first item of evaluation in candidate selection. Thus, it is imperative that resumes are complete, free of errors and well-organized. We present an automated resume evaluation tool called 'CareerMapper'. Our tool is designed to conduct …
Unsupervised Feature Selection For Outlier Detection By Modelling Hierarchical Value-Feature Couplings,
2016
Singapore Management University
Unsupervised Feature Selection For Outlier Detection By Modelling Hierarchical Value-Feature Couplings, Guansong Pang, Longbing Cao, Ling Chen, Huan Liu
Research Collection School Of Computing and Information Systems
Proper feature selection for unsupervised outlier detection can improve detection performance but is very challenging due to complex feature interactions, the mixture of relevant features with noisy/redundant features in imbalanced data, and the unavailability of class labels. Little work has been done on this challenge. This paper proposes a novel Coupled Unsupervised Feature Selection framework (CUFS for short) to filter out noisy or redundant features for subsequent outlier detection in categorical data. CUFS quantifies the outlierness (or relevance) of features by learning and integrating both the feature value couplings and feature couplings. Such value-to-feature couplings capture intrinsic data characteristics and …
Iterated Random Oracle: A Universal Approach For Finding Loss In Security Reduction,
2016
Singapore Management University
Iterated Random Oracle: A Universal Approach For Finding Loss In Security Reduction, Fuchun Guo, Willy Susilo, Yi Mu, Rongmao Chen, Jianchang Lai, Guomin Yang
Research Collection School Of Computing and Information Systems
The indistinguishability security of a public-key cryptosystem can be reduced to a computational hard assumption in the random oracle model, where the solution to a computational hard problem is hidden in one of the adversary’s queries to the random oracle. Usually, there is a finding loss in finding the correct solution from the query set, especially when the decisional variant of the computational problem is also hard. The problem of finding loss must be addressed towards tight(er) reductions under this type. In EUROCRYPT 2008, Cash, Kiltz and Shoup proposed a novel approach using a trapdoor test that can solve the …
Coherence, Richness And Cognitive Absorption In Website Design,
2016
Singapore Management University
Coherence, Richness And Cognitive Absorption In Website Design, L. Visinescu, Fiona Fui-Hoon Nah
Research Collection School Of Computing and Information Systems
Kaplan’s theory on environmental preferences can offer a holistic perspective on cognitive absorption in ecommerce website design. Drawing on Kaplan’s theory, this paper proposes that coherence and richness of a website can enhance cognitive absorption of users. The findings from our study not only support the hypotheses, but also suggest that coherence and richness can reach an optimal proportion in website design, after which they are inversely correlated.
An Interview With The Scorpion: Walter O’Brien,
2016
Scorpion Computer Services
An Interview With The Scorpion: Walter O’Brien, Walter O'Brien
The Transdisciplinary STEAM+ Journal
An interview with Walter O'Brien (hacker handle: "Scorpion"), known as a businessman, information technologist, executive producer, and media personality who is the founder and CEO of Scorpion Computer Services, Inc. O'Brien is also the inspiration for and executive producer of the CBS television series, Scorpion.
Inferred Error Rates For Entity Resolution,
2016
University of Arkansas Little Rock
Inferred Error Rates For Entity Resolution, Melody Lynn Penning
Theses and Dissertations
This dissertation is focused on the methodology of determining the quality of the results of entity resolution. Entity resolution methodologies results in different success rates. Until now these success rates have been measured by counting all of the correctly and incorrectly matched results. This is quickly becoming an intractable task as datasets grow in size. In order to address this problem this research tests and describes the results of count based measures as compared with inferred measures borrowed from the information retrieval community. The key contribution of this research is a proof of concept in a controlled environment that demonstrates …
Data Exfiltration Detection And Prevention: Virtually Distributed Pomdps For Practically Safer Networks,
2016
Singapore Management University
Data Exfiltration Detection And Prevention: Virtually Distributed Pomdps For Practically Safer Networks, Sara Marie Mc Carthy, Arunesh Sinha, Milind Tambe, Pratyusa Manadhata
Research Collection School Of Computing and Information Systems
We address the challenge of detecting and addressing advanced persistent threats (APTs) in a computer network, focusing in particular on the challenge of detecting data exfiltration over Domain Name System (DNS) queries, where existing detection sensors are imperfect and lead to noisy observations about the network’s security state. Data exfiltration over DNS queries involves unauthorized transfer of sensitive data from an organization to a remote adversary through a DNS data tunnel to a malicious web domain. Given the noisy sensors, previous work has illustrated that standard approaches fail to satisfactorily rise to the challenge of detecting exfiltration attempts. Instead, we …
A Method Of Integrating Correlation Structures For A Generalized Recursive Route Choice Model,
2016
Singapore Management University
A Method Of Integrating Correlation Structures For A Generalized Recursive Route Choice Model, Tien Mai
Research Collection School Of Computing and Information Systems
We propose a way to estimate a generalized recursive route choice model. The model generalizes other existing recursive models in the literature, i.e., (Fosgerau et al., 2013b; Mai et al., 2015c), while being more flexible since it allows the choice at each stage to be any member of the network multivariate extreme value (network MEV) model (Daly and Bierlaire, 2006). The estimation of the generalized model requires defining a contraction mapping and performing contraction iterations to solve the Bellman’s equation. Given the fact that the contraction mapping is defined based on the choice probability generating functions (CPGF) (Fosgerau et al., …
Media Reinvented,
2016
Singapore Management University
Media Reinvented, Geoff Tan
Asian Management Insights
The brave new world of digital media.
Asean's Digital Economy,
2016
Singapore Management University
Asean's Digital Economy, Naveen Menon
Asian Management Insights
Transforming industries, enriching lives and propelling progress.
Connecting India,
2016
Singapore Management University
Connecting India, Sam Pitroda
Asian Management Insights
Great inventions will not be born in the absence of the will and intent to embrace change and solve wideranging societal problems.
Hierarchical Visualization Of Video Search Results For Topic-Based Browsing,
2016
Singapore Management University
Hierarchical Visualization Of Video Search Results For Topic-Based Browsing, Yu-Gang Jiang, Jiajun Wang, Qiang Wang, Wei Liu, Chong-Wah Ngo
Research Collection School Of Computing and Information Systems
Existing video search engines return a ranked list of videos for each user query, which is not convenient for browsing the results of query topics that have multiple facets, such as the "early life," "personal life," and "presidency" of a query "Barack Obama." Organizing video search results into semantically structured hierarchies with nodes covering different topic facets can significantly improve the browsing efficiency for such queries. In this paper, we introduce a hierarchical visualization approach for video search result browsing, which can help users quickly understand the multiple facets of a query topic in a very well-organized manner. Given a …
Content Sampling, Household Informedness, And The Consumption Of Digital Information Goods,
2016
Singapore Management University
Content Sampling, Household Informedness, And The Consumption Of Digital Information Goods, Ai Phuong Hoang, Robert J. Kauffman
Research Collection School Of Computing and Information Systems
Technology and media are delivering content that is transforming society. Providers must compete for consumer attention to sell their digital information goods effectively. This is challenging, since there is a high level of uncertainty associated with the consumption of such goods. Service providers often use free programming to share product information. We examine the effectiveness of content sampling strategy used for on-demand series dramas, a unique class of entertainment goods. The data were extracted from a large set of household video-on-demand (VoD) viewing records and combined with external data sources. We extended a propensity score matching (PSM) approach to handle …
