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2007

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Articles 61 - 90 of 200

Full-Text Articles in Databases and Information Systems

Space Adaptation: Privacy-Preserving Multiparty Collaborative Mining With Geometric Perturbation, Keke Chen, Ling Liu Aug 2007

Space Adaptation: Privacy-Preserving Multiparty Collaborative Mining With Geometric Perturbation, Keke Chen, Ling Liu

Kno.e.sis Publications

The service-oriented infrastructure has become popular for collaboratively mining data distributed over organizations [3], where the participants are the data providers who submit their perturbed datasets to the designated data mining service provider (the data miner) for mining commonly interested models.

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The Influence Of Online Word Of Mouth On Product Sales In Retail E-Commerce: An Empirical Investigation, Alanah Davis, Deepak Khazanchi Aug 2007

The Influence Of Online Word Of Mouth On Product Sales In Retail E-Commerce: An Empirical Investigation, Alanah Davis, Deepak Khazanchi

Information Systems and Quantitative Analysis Faculty Proceedings & Presentations

The ability to exchange opinions and experiences online is known as online word of mouth (WOM). Due to the high acceptance of consumers and their apparent reliance on online WOM it is important for organizations to understand how it works and what kind of impact it has on product sales. Using the well-established notions of volume and valence to describe online WOM, we empirically evaluate the hypothesized relationship between online WOM in a retail e-commerce site and actual product sales. Our analysis of the data shows that there is a significant change in the number of products sold following the …

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An Information Technology Therapy Approach To Micro-Enterprise Adoption Of Icts, Peter Wolcott, Sajda Qureshi, Mehruz Kamal Aug 2007

An Information Technology Therapy Approach To Micro-Enterprise Adoption Of Icts, Peter Wolcott, Sajda Qureshi, Mehruz Kamal

Information Systems and Quantitative Analysis Faculty Proceedings & Presentations

The advent of Information and Communication Technologies (ICTs) has opened up new opportunities for micro-enterprises to improve their businesses. However the challenges to using ICTs are impeding these businesses from growing into the drivers for development that they can be. This suggests that a potentially important driver of development needs to be supported. This paper investigates the adoption of ICTs in eight micro-enterprises in an underserved community of Omaha, Nebraska. Following an action research study, this research provides insight into the key challenges and opportunities facing micro-enterprises in their use of ICTs to create value for their businesses. Its contribution …

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Interface Design For Handheld Mobile Devices, Peter Tarasewich, Jun Gong, Fiona Fui-Hoon Nah Aug 2007

Interface Design For Handheld Mobile Devices, Peter Tarasewich, Jun Gong, Fiona Fui-Hoon Nah

Research Collection School Of Computing and Information Systems

Mobile computing has attracted a lot of attention from both the industry and academia in recent years. While a number of mobile applications have been developed, there are no established guidelines on the design of mobile device interfaces. This paper presents our initial efforts to provide a set of practical design guidelines for mobile device interfaces.

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Mapping Better Business Strategies With Gis, Tin Seong Kam Aug 2007

Mapping Better Business Strategies With Gis, Tin Seong Kam

Research Collection School Of Computing and Information Systems

The value of location as a business measure is fast becoming an important consideration for organisations. GIS (Geographical Information Systems), with its capability to manage, display, analyse business information spatially, is emerging as a powerful location intelligence tool. In the US, Starbucks, Blockbuster, Hyundai, and thousands of other businesses use census data and GIS software to help them understand what types of people buy their products and services, and how to better market to these consumers. For example, McDonald’s in Japan uses a GIS system to overlay demographic information on maps to help identify promising new store sites. Singapore Management …

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Are You Too Smart For Your Own Good?, M. Thulasidas Aug 2007

Are You Too Smart For Your Own Good?, M. Thulasidas

Research Collection School Of Computing and Information Systems

Knowledge can be a bad thing, if others are taking credit for it. TECHNICAL knowledge is not always a good thing for you in the modern workplace.

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Cost-Time Sensitive Decision Tree With Missing Values, Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang Aug 2007

Cost-Time Sensitive Decision Tree With Missing Values, Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang

Research Collection School Of Computing and Information Systems

Cost-sensitive decision tree learning is very important and popular in machine learning and data mining community. There are many literatures focusing on misclassification cost and test cost at present. In real world application, however, the issue of time-sensitive should be considered in cost-sensitive learning. In this paper, we regard the cost of time-sensitive in cost-sensitive learning as waiting cost (referred to WC), a novelty splitting criterion is proposed for constructing cost-time sensitive (denoted as CTS) decision tree for maximal decrease the intangible cost. And then, a hybrid test strategy that combines the sequential test with the batch test strategies is …

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A Lateral Symmetry Approach To Percentage-Based Hybrid Pattern (Php) Training, Sheng-Uei Guan, Kiruthika Ramanathan Aug 2007

A Lateral Symmetry Approach To Percentage-Based Hybrid Pattern (Php) Training, Sheng-Uei Guan, Kiruthika Ramanathan

Research Collection School Of Computing and Information Systems

In this paper, we investigate the application of lateral symmetry to supervised learning using genetic algorithms. The hypothesis is motivated by the presence of symmetry in the animal brain and by research results showing approximately equal task division between the two hemispheres of the brain. In this paper, each training pattern is considered a task. By applying the concept of lateral symmetry, we use global training (a typically right brained activity) to learn half the tasks and local training (a left brained activity) to learn the rest of the tasks. We verified the use of this Percentage-based Pattern (PHP) training …

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Measuring Knowledge Sharing In Open Source Software Development Teams, Y. Long, Keng Siau, K. Howell Aug 2007

Measuring Knowledge Sharing In Open Source Software Development Teams, Y. Long, Keng Siau, K. Howell

Research Collection School Of Computing and Information Systems

The study provides an approach to measure the extent of knowledge sharing in Open Source Software (OSS) development in terms of two aspects: the quality of knowledge sharing which is indicated by the helpfulness of the messages, and the quantity of knowledge sharing which is indicated by the volume of the messages. The study developed a computer-aided content analysis program to assess the helpfulness of the messages based on a set of keywords and the length of the messages. The approach was applied to measure the extent of knowledge sharing of 150 OSS projects. The results further confirmed that the …

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Design Science Research On Systems Analysis And Design: The Case Of Uml, X. Tan, Keng Siau, J. Erickson Aug 2007

Design Science Research On Systems Analysis And Design: The Case Of Uml, X. Tan, Keng Siau, J. Erickson

Research Collection School Of Computing and Information Systems

Design science in the IS discipline seeks to create artifacts that embody the ideas, practices, technical capabilities, and products required to efficiently accomplish the analysis, design, implementation, and use of information systems (Hevner et al 2006). SA&D research, being close to the design science paradigm, has suffered from a lack of appreciation from the behavioral science paradigm. To provide a paradigmatic foundation, we propose a conceptual framework for SA&D research. The framewor was developed based on several essays that systematically articulate the design science paradigm in the IS field. Using this framework, we reviewed some UML papers that appeared in …

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An Augmented Approach To Support Collaborative Distance Learning Of Unified Modeling Language, Keng Siau, Fiona Fui-Hoon Nah, Brenda Eschenbrenner, Ashu Guru Aug 2007

An Augmented Approach To Support Collaborative Distance Learning Of Unified Modeling Language, Keng Siau, Fiona Fui-Hoon Nah, Brenda Eschenbrenner, Ashu Guru

Research Collection School Of Computing and Information Systems

Teaching in the classroom faces many challenges of providing a collaborative, interactive environment that effectively facilitates students’ learning. The challenges increase when the physical classroom converts into a virtual classroom. This difficulty is further exacerbated when the course is diagramming intensive, practice-oriented, and hands-on in nature. Technology has been sought after to help with these challenges. Web Conferencing software, when compared to Web Broadcasting software, can facilitate real-time interaction and collaboration in a distance learning context. For courses that are diagramming intensive and practice-oriented, Tablet PCs, when compared to desktop PCs, can support drawing and diagramming because of the ability …

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Theoretical And Practical Complexity Of Modeling Methods, John Erickson, Keng Siau Aug 2007

Theoretical And Practical Complexity Of Modeling Methods, John Erickson, Keng Siau

Research Collection School Of Computing and Information Systems

The estimation of theoretical and practical complexity of a system development method is discussed. Executable model capability allow developers to transform models developed during the Systems Analysis and Design portion of the systems development process into working applications. Systems are becoming more complex mostly because of influencing factors such as required and enhanced functionality, interoperability, and security. Other trends that impact the complexity of applications include systems such as enterprise resource planning, supply chain management, and customer relationship management. These types of systems are very large and complex and require close internal cooperation for the implementing organizations individually and also …

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Semantic Web: Promising Technologies And Current Applications In Health Care & Life Sciences, Amit P. Sheth Jul 2007

Semantic Web: Promising Technologies And Current Applications In Health Care & Life Sciences, Amit P. Sheth

Kno.e.sis Publications

No abstract provided.

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Efficient Computation Of Iceberg Cubes By Bounding Aggregate Functions, Xiuzhen Zhang, Pauline Lienhua Chou, Guozhu Dong Jul 2007

Efficient Computation Of Iceberg Cubes By Bounding Aggregate Functions, Xiuzhen Zhang, Pauline Lienhua Chou, Guozhu Dong

Kno.e.sis Publications

The iceberg cubing problem is to compute the multidimensional group-by partitions that satisfy given aggregation constraints. Pruning unproductive computation for iceberg cubing when nonantimonotone constraints are present is a great challenge because the aggregate functions do not increase or decrease monotonically along the subset relationship between partitions. In this paper, we propose a novel bound prune cubing (BP-Cubing) approach for iceberg cubing with nonantimonotone aggregation constraints. Given a cube over n dimensions, an aggregate for any group-by partition can be computed from aggregates for the most specific n--dimensional partitions (MSPs). The largest and smallest aggregate values computed this way become …

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Semantics To Energize The Full Services Spectrum: Ontological Approach To Better Exploit Services At Technical And Business Levels, Amit P. Sheth Jul 2007

Semantics To Energize The Full Services Spectrum: Ontological Approach To Better Exploit Services At Technical And Business Levels, Amit P. Sheth

Kno.e.sis Publications

Services are pervasive in today’s economic landscape, and services- based architectures are being rapidly adopted as IT infrastructure. The need to take a broader perspective of services to include people and organizational descriptions as opposed to technical interface descriptions has already been recognized as part of an overall vision of services science [46, 100]. This article describes the Semantic Services Science (3S) model, which seeks to demonstrate the essential benefits of semantics in view of the broader vision of services science by using service descriptions that capture technical, human, organizational, and business value aspects. We assert that ontology-based semantic modeling …

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On Searching Continuous Nearest Neighbors In Wireless Data Broadcast Systems, Baihua Zheng, Wang-Chien Lee, Dik Lun Lee Jul 2007

On Searching Continuous Nearest Neighbors In Wireless Data Broadcast Systems, Baihua Zheng, Wang-Chien Lee, Dik Lun Lee

Research Collection School Of Computing and Information Systems

A continuous nearest neighbor (CNN) search, which retrieves the nearest neighbors corresponding to every point in a given query line segment, is important for location-based services such as vehicular navigation and tourist guides. It is infeasible to answer a CNN search by issuing a traditional nearest neighbor query at every point of the line segment due to the large number of queries generated and the overhead on bandwidth. Algorithms have been proposed recently to support CNN search in the traditional client-server systems but not in the environment of wireless data broadcast, where uplink communication channels from mobile devices to the …

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Quo Vadis, Cs? – On The (Non)-Impact Of Conceptual Structures On The Semantic Web, Sebastian Rudolph, Markus Krotzsch, Pascal Hitzler Jul 2007

Quo Vadis, Cs? – On The (Non)-Impact Of Conceptual Structures On The Semantic Web, Sebastian Rudolph, Markus Krotzsch, Pascal Hitzler

Computer Science and Engineering Faculty Publications

Conceptual Structures is a field of research which shares abstract concepts and interests with recent work on knowledge representation for the Semantic Web. However, while the latter is an area of research and development which is rapidly expanding in recent years, the former fails to participate in these developments on a large scale. In this paper, we attempt to stimulate the Conceptual Structures community to catch the Semantic Web train.

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A Semantic Framework For Identifying Events In A Service Oriented Architecture, Karthik Gomadam, Ajith Harshana Ranabahu, Lakshmish Ramaswamy, Amit P. Sheth, Kunal Verma Jul 2007

A Semantic Framework For Identifying Events In A Service Oriented Architecture, Karthik Gomadam, Ajith Harshana Ranabahu, Lakshmish Ramaswamy, Amit P. Sheth, Kunal Verma

Kno.e.sis Publications

We propose a semantic framework for automatically identifying events as a step towards developing an adaptive middleware for Service Oriented Architecture (SOA). Current related research focuses on adapting to events that violate certain non-functional objectives of the service requestor. Given the large of number of events that can happen during the execution of a service, identifying events that can impact the non-functional objectives of a service request is a key challenge. To address this problem we propose an approach that allows service requestors to create semantically rich service requirement descriptions, called semantic templates. We propose a formal model for expressing …

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An Empirical Study On Large-Scale Content-Based Image Retrieval, Yuk Man Wong, Steven C. H. Hoi, Michael R. Lyu Jul 2007

An Empirical Study On Large-Scale Content-Based Image Retrieval, Yuk Man Wong, Steven C. H. Hoi, Michael R. Lyu

Research Collection School Of Computing and Information Systems

One key challenge in content-based image retrieval (CBIR) is to develop a fast solution for indexing high-dimensional image contents, which is crucial to building large-scale CBIR systems. In this paper, we propose a scalable content-based image retrieval scheme using locality-sensitive hashing (LSH), and conduct extensive evaluations on a large image testbed of a half million images. To the best of our knowledge, there is less comprehensive study on large-scale CBIR evaluation with a half million images. Our empirical results show that our proposed solution is able to scale for hundreds of thousands of images, which is promising for building Web-scale …

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Discovering And Exploiting Causal Dependencies For Robust Mobile Context-Aware Recommenders, Ghim-Eng Yap, Ah-Hwee Tan, Hwee Hwa Pang Jul 2007

Discovering And Exploiting Causal Dependencies For Robust Mobile Context-Aware Recommenders, Ghim-Eng Yap, Ah-Hwee Tan, Hwee Hwa Pang

Research Collection School Of Computing and Information Systems

Acquisition of context poses unique challenges to mobile context-aware recommender systems. The limited resources in these systems make minimizing their context acquisition a practical need, and the uncertainty in the mobile environment makes missing and erroneous context inputs a major concern. In this paper, we propose an approach based on Bayesian networks (BNs) for building recommender systems that minimize context acquisition. Our learning approach iteratively trims the BN-based context model until it contains only the minimal set of context parameters that are important to a user. In addition, we show that a two-tiered context model can effectively capture the causal …

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Efficient Near-Duplicate Keyframe Retrieval With Visual Language Models, Xiao Wu, Wan-Lei Zhao, Chong-Wah Ngo Jul 2007

Efficient Near-Duplicate Keyframe Retrieval With Visual Language Models, Xiao Wu, Wan-Lei Zhao, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

Near-duplicate keyframe retrieval is a critical task for video similarity measure, video threading and tracking. In this paper, instead of using expensive point-to-point matching on keypoints, we investigate the visual language models built on visual keywords to speed up the near-duplicate keyframe retrieval. The main idea is to estimate a visual language model on visual keywords for each keyframe and compare keyframes by the likelihood of their visual language models. Experiments on a subset of TRECVID-2004 video corpus show that visual language models built on visual keywords demonstrate promising performance for near-duplicate keyframe retrieval, which greatly speed up the retrieval …

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An Examination Of Online Product Comparison Service: Fit Between Product Type And Disposition Style, Fiona Fui-Hoon Nah, W. Hong, L. Chen, H. Lee Jul 2007

An Examination Of Online Product Comparison Service: Fit Between Product Type And Disposition Style, Fiona Fui-Hoon Nah, W. Hong, L. Chen, H. Lee

Research Collection School Of Computing and Information Systems

Horizontal and vertical disposition styles are two main formats used in product comparison service on e-commerce websites. In this research, we hypothesize that there is a fit between product type (‘think’ vs. ‘feel’ product) and disposition style (horizontal vs. vertical style), where horizontal disposition style is more appropriate for ‘feel’ products and vertical disposition style is a better fit for ‘think’ products. An experiment will be carried out to test the hypotheses.

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Appraisal - Who Needs It?, M. Thulasidas Jul 2007

Appraisal - Who Needs It?, M. Thulasidas

Research Collection School Of Computing and Information Systems

WE GO through this ordeal every year when our boss- es appraise our performance. Our career progression, bonus and salary depend on it. So, we spend sleepless nights agonising over it.

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Is Interpersonal Trust A Necessary Condition For Organisational Learning?, Siu Loon Hoe Jul 2007

Is Interpersonal Trust A Necessary Condition For Organisational Learning?, Siu Loon Hoe

Research Collection School Of Computing and Information Systems

The organisational behaviour and management literature has devoted a lot attention on various factors affecting organisational learning. While there has been much work done to examine trust in promoting organisational learning, there is a lack of consensus on the specific type of trust involved. The purpose of this paper is to highlight the importance of interpersonal trust in promoting organisational learning and propose a research agenda to test the extent of interpersonal trust on organisational learning. This paper contributes to the existing organisational learning literature by specifying a specific form of trust, interpersonal trust, which promotes organisational learning and proposing …

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Learning Causal Models For Noisy Biological Data Mining: An Application To Ovarian Cancer Detection, Ghim-Eng Yap, Ah-Hwee Tan, Hwee Hwa Pang Jul 2007

Learning Causal Models For Noisy Biological Data Mining: An Application To Ovarian Cancer Detection, Ghim-Eng Yap, Ah-Hwee Tan, Hwee Hwa Pang

Research Collection School Of Computing and Information Systems

Undetected errors in the expression measurements from highthroughput DNA microarrays and protein spectroscopy could seriously affect the diagnostic reliability in disease detection. In addition to a high resilience against such errors, diagnostic models need to be more comprehensible so that a deeper understanding of the causal interactions among biological entities like genes and proteins may be possible. In this paper, we introduce a robust knowledge discovery approach that addresses these challenges. First, the causal interactions among the genes and proteins in the noisy expression data are discovered automatically through Bayesian network learning. Then, the diagnosis of a disease based on …

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Continuous Monitoring Of Top-K Queries Over Sliding Windows, Kyriakos Mouratidis, Spiridon Bakiras, Dimitris Papadias Jul 2007

Continuous Monitoring Of Top-K Queries Over Sliding Windows, Kyriakos Mouratidis, Spiridon Bakiras, Dimitris Papadias

Research Collection School Of Computing and Information Systems

Given a dataset P and a preference function f, a top-k query retrieves the k tuples in P with the highest scores according to f. Even though the problem is well-studied in conventional databases, the existing methods are inapplicable to highly dynamic environments involving numerous long-running queries. This paper studies continuous monitoring of top-k queries over a fixed-size window W of the most recent data. The window size can be expressed either in terms of the number of active tuples or time units. We propose a general methodology for top-k monitoring that restricts processing to the sub-domains of the workspace …

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Near-Duplicate Keyframe Retrieval With Visual Keywords And Semantic Context, Xiao Wu, Wan-Lei Zhao, Chong-Wah Ngo Jul 2007

Near-Duplicate Keyframe Retrieval With Visual Keywords And Semantic Context, Xiao Wu, Wan-Lei Zhao, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

Near-duplicate keyframes (NDK) play a unique role in large-scale video search, news topic detection and tracking. In this paper, we propose a novel NDK retrieval approach by exploring both visual and textual cues from the visual vocabulary and semantic context respectively. The vocabulary, which provides entries for visual keywords, is formed by the clustering of local keypoints. The semantic context is inferred from the speech transcript surrounding a keyframe. We experiment the usefulness of visual keywords and semantic context, separately and jointly, using cosine similarity and language models. By linearly fusing both modalities, performance improvement is reported compared with the …

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Cross-Lingual Query Suggestion Using Query Logs Of Different Languages, Wei Gao, Cheng Niu, Jian-Yun Nie, Ming Zhou, Jian Hu, Kam-Fai Wong, Hsiao-Wuen Hon Jul 2007

Cross-Lingual Query Suggestion Using Query Logs Of Different Languages, Wei Gao, Cheng Niu, Jian-Yun Nie, Ming Zhou, Jian Hu, 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 help users better specify their information needs. Previously, the suggested terms are mostly in the same language of the input query. In this paper, 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 scenarios of cross-language information retrieval (CLIR) and cross-lingual keyword bidding for search engine advertisement. Instead of relying on existing query translation technologies for CLQS, we present an effective means to map the input query of one …

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Continuous Medoid Queries Over Moving Objects, Stavros Papadopoulos, Dimitris Sacharidis, Kyriakos Mouratidis Jul 2007

Continuous Medoid Queries Over Moving Objects, Stavros Papadopoulos, Dimitris Sacharidis, Kyriakos Mouratidis

Research Collection School Of Computing and Information Systems

In the k-medoid problem, given a dataset P, we are asked to choose kpoints in P as the medoids. The optimal medoid set minimizes the average Euclidean distance between the points in P and their closest medoid. Finding the optimal k medoids is NP hard, and existing algorithms aim at approximate answers, i.e., they compute medoids that achieve a small, yet not minimal, average distance. Similarly in this paper, we also aim at approximate solutions. We consider, however, the continuous version of the problem, where the points in P move and our task is to maintain the medoid set on-the-fly …

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Analyzing Feature Trajectories For Event Detection, Qi He, Kuiyu Chang, Ee Peng Lim Jul 2007

Analyzing Feature Trajectories For Event Detection, Qi He, Kuiyu Chang, Ee Peng Lim

Research Collection School Of Computing and Information Systems

We consider the problem of analyzing word trajectories in both time and frequency domains, with the specific goal of identifying important and less-reported, periodic and aperiodic words. A set of words with identical trends can be grouped together to reconstruct an event in a completely un-supervised manner. The document frequency of each word across time is treated like a time series, where each element is the document frequency - inverse document frequency (DFIDF) score at one time point. In this paper, we 1) first applied spectral analysis to categorize features for different event characteristics: important and less-reported, periodic and aperiodic; …

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