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Eassistant: Cognitive Assistance For Identification And Auto-Triage Of Actionable Conversations, Hamid R. Motahari Nezhad, Kalpa Gunaratna, Juan Cappi 2017 Wright State University - Main Campus

Eassistant: Cognitive Assistance For Identification And Auto-Triage Of Actionable Conversations, Hamid R. Motahari Nezhad, Kalpa Gunaratna, Juan Cappi

Kno.e.sis Publications

The browser and screen have been the main user interfaces of the Web and mobile apps. The notification mechanism is an evolution in the user interaction paradigm by keeping users updated without checking applications. Conversational agents are posed to be the next revolution in user interaction paradigms. However, without intelligence on the triage of content served by the interaction and content differentiation in applications, interaction paradigms may still place the burden of information overload on users. In this paper, we focus on the problem of intelligent identification of actionable information in the content served by applications, and in particular in ...


Optimization Of A Reporting Process With Input From Multiple Systems, Cheri R. Freedman 2017 Western Oregon University

Optimization Of A Reporting Process With Input From Multiple Systems, Cheri R. Freedman

Student Theses, Papers and Projects (Computer Science)

This project involves the research, development, and improvement of a reporting process used to generate reports in adherence to contractual and legislative requirements. The project will review the beginning process, the proposed and implemented solutions, and the future of the project. The project addresses the goals of data quality, timeliness, and transparency throughout the paper including how they relate to the challenges, solution selection, and overall success of the project. The need for this project reflects the ongoing need for and some of the challenges that are typical of automation and systems integration in state government entities. As the role ...


Metric Similarity Joins Using Mapreduce, Yunjun GAO, Keyu YANG, Lu CHEN, Baihua ZHENG, Gang CHEN, Chun CHEN 2017 Zhejiang University

Metric Similarity Joins Using Mapreduce, Yunjun Gao, Keyu Yang, Lu Chen, Baihua Zheng, Gang Chen, Chun Chen

Research Collection School Of Information Systems

Given two object sets Q and O , a metric similarity join finds similar object pairs according to a certain criterion. This operation has a wide variety of applications in data cleaning, data mining, to name but a few. However, the rapidly growing volume of data nowadays challenges traditional metric similarity join methods, and thus, a distributed method is required. In this paper, we adopt a popular distributed framework, namely, MapReduce, to support scalable metric similarity joins. To ensure the load balancing, we present two sampling based partition methods. One utilizes the pivot and the space-filling curve mappings to cluster the ...


Version-Sensitive Mobile App Recommendation, Da CAO, Liqiang NIE, Xiangnan HE 2017 Singapore Management University

Version-Sensitive Mobile App Recommendation, Da Cao, Liqiang Nie, Xiangnan He

Research Collection School Of Information Systems

Being part and parcel of the daily life for billions of people all over the globe, the domain of mobile Applications (Apps) is the fastest growing sector of mobile market today. Users, however, are frequently overwhelmed by the vast number of released Apps and frequently updated versions. Towards this end, we propose a novel version-sensitive mobile App recommendation framework. It is able to recommend appropriate Apps to right users by jointly exploring the version progression and dual-heterogeneous data. It is helpful for alleviating the data sparsity problem caused by version division. As a byproduct, it can be utilized to solve ...


Sinr Constrained Beamforming For A Mimo Multi-User Downlink System: Algorithms And Convergence Analysis, Oingjang Shi, Meisam Razaviyayn, Mingyi Hong, Zhi-Quan Luo 2017 Zhejiang University

Sinr Constrained Beamforming For A Mimo Multi-User Downlink System: Algorithms And Convergence Analysis, Oingjang Shi, Meisam Razaviyayn, Mingyi Hong, Zhi-Quan Luo

Mingyi Hong

Consider a multiple-input multiple-output (MIMO) downlink multi-user channel. A well-studied problem in such a system is the design of linear beamformers for power minimization with the quality of service (QoS) constraints. The most representative algorithms for solving this class of problems are the so-called minimum mean square error (MMSE)-second-order cone programming (SOCP) algorithm [Visotksy and Madhow, “Optimum Beamforming Using Transmit Antenna Arrays,” Proc. IEEE Veh. Technol. Conf., May 1999, vol. 1, pp. 851-856] , [Wong, Zheng, and Ng, “Convergence Analysis of Downlink MIMO Antenna System Using Second-Order Cone Programming,” Proc. 62nd IEEE Veh. Technol. Conf., Sep. 2005, pp. 492-496] and ...


A Unified Algorithmic Framework For Block-Structured Optimization Involving Big Data: With Applications In Machine Learning And Signal Processing, Mingyi Hong, Meisam Razaviyayn, Zhi-Quan Luo 2017 Iowa State University

A Unified Algorithmic Framework For Block-Structured Optimization Involving Big Data: With Applications In Machine Learning And Signal Processing, Mingyi Hong, Meisam Razaviyayn, Zhi-Quan Luo

Mingyi Hong

This article presents a powerful algorithmic framework for big data optimization, called the block successive upper-bound minimization (BSUM). The BSUM includes as special cases many well-known methods for analyzing massive data sets, such as the block coordinate descent (BCD) method, the convex-concave procedure (CCCP) method, the block coordinate proximal gradient (BCPG) method, the nonnegative matrix factorization (NMF) method, the expectation maximization (EM) method, etc. In this article, various features and properties of the BSUM are discussed from the viewpoint of design flexibility, computational efficiency, parallel/distributed implementation, and the required communication overhead. Illustrative examples from networking, signal processing, and machine ...


Intelligent Web Crawler For Semantic Search Engine, Shujia Zhang 2017 San Jose State University

Intelligent Web Crawler For Semantic Search Engine, Shujia Zhang

Master's Projects

A Semantic Search Engine (SSE) is a program that produces semantic-oriented concepts from the Internet. A web crawler is the front end of our SSE; its primary goal is to supply important and necessary information to the data analysis component of SSE. The main function of the analysis component is to produce the concepts (moderately frequent finite sequences of keywords) from the input; it uses some variants of TF-IDF as a primary tool to remove stop words. However, it is a very expensive way to filter out stop words using the idea of TF-IDF. The goal of this project is ...


Using An Online Tutorial To Teach Rea Data Modeling In Accounting Information Systems Courses, Poh Sun SEOW, PAN, Gary 2017 Singapore Management University

Using An Online Tutorial To Teach Rea Data Modeling In Accounting Information Systems Courses, Poh Sun Seow, Pan, Gary

Research Collection School Of Accountancy

Online learning has been gaining widespread adoption due to its successin enhancing student-learning outcomes and improving student t academicperformance. This paper describes an online tutorial to teach resource-event-agent(REA) data modeling in an undergraduate accounting information systems course.The REA online tutorial reflects a self-study application designed to helpstudents improve their understanding of the REA data model. As such, thetutorial acts as a supplement to lectures by reinforcing the concepts andincorporating practices to assess student understanding. Instructors can accessthe REA online tutorial at http://smu.asg/rea. An independent survey by the University’sCentre for Teaching Excellence found a significant ...


Soal: Second-Order Online Active Learning, Shuji HAO, Peilin ZHAO, LU JING, HOI, Steven C. H., Chunyan MIAO, Chi ZHANG 2017 Singapore Management University

Soal: Second-Order Online Active Learning, Shuji Hao, Peilin Zhao, Lu Jing, Hoi, Steven C. H., Chunyan Miao, Chi Zhang

Research Collection School Of Information Systems

This paper investigates the problem of online activelearning for training classification models from sequentiallyarriving data. This is more challenging than conventional onlinelearning tasks since the learner not only needs to figure outhow to effectively update the classifier but also needs to decidewhen is the best time to query the label of an incoming instancegiven limited label budget. The existing online active learningapproaches are often based on first-order online learning methodswhich generally fall short in slow convergence rate and suboptimalexploitation of available information when queryingthe labeled data. To overcome the limitations, in this paper,we present a new framework of Second-order ...


Collective Multiagent Sequential Decision Making Under Uncertainty, NGUYEN DUC THIEN, Akshat KUMAR, Hoong Chuin LAU 2017 Singapore Management University

Collective Multiagent Sequential Decision Making Under Uncertainty, Nguyen Duc Thien, Akshat Kumar, Hoong Chuin Lau

Research Collection School Of Information Systems

Multiagent sequential decision making has seen rapidprogress with formal models such as decentralized MDPsand POMDPs. However, scalability to large multiagent systemsand applicability to real world problems remain limited.To address these challenges, we study multiagent planningproblems where the collective behavior of a populationof agents affects the joint-reward and environment dynamics.Our work exploits recent advances in graphical modelsfor modeling and inference with a population of individualssuch as collective graphical models and the notion of fi-nite partial exchangeability in lifted inference. We developa collective decentralized MDP model where policies can becomputed based on counts of agents in different states. Asthe policy ...


Decentralized Planning In Stochastic Environments With Submodular Rewards, Rajiv Ranjan KUMAR, Pradeep VARAKANTHAM, Akshat KUMAR 2017 Singapore Management University

Decentralized Planning In Stochastic Environments With Submodular Rewards, Rajiv Ranjan Kumar, Pradeep Varakantham, Akshat Kumar

Research Collection School Of Information Systems

Decentralized Markov Decision Process (Dec-MDP) providesa rich framework to represent cooperative decentralizedand stochastic planning problems under transition uncertainty.However, solving a Dec-MDP to generate coordinatedyet decentralized policies is NEXP-Hard. Researchershave made significant progress in providing approximate approachesto improve scalability with respect to number ofagents. However, there has been little or no research devotedto finding guarantees on solution quality for approximateapproaches considering multiple (more than 2 agents)agents. We have a similar situation with respect to the competitivedecentralized planning problem and the StochasticGame (SG) model. To address this, we identify models in thecooperative and competitive case that rely on submodular rewards ...


Collaborating Through Virtual Communities Using Cloud Technology, Diane Stottlemyer 2017 American Public University System

Collaborating Through Virtual Communities Using Cloud Technology, Diane Stottlemyer

ePress Monographs

Collaboration and communication are both essential for successful interaction and participation in virtual communities. In this book, there are discussions of how a virtual community can be an essential communication tool to enhance traditional and online schools. In addition, the virtual community can provide information on the importance of collaboration for those who want to discuss a specific topic area. The virtual community is a tool that can encourage the interaction and exchange of information between individuals. Cloud Technology has helped schools in many ways managing cost while still improving communication and e-collaboration. Cloud technology has increased opportunities for setting ...


Assessing Differences Between Physician's Realized And Anticipated Gains From Electronic Health Record Adoption, Lori T. Peterson, Eric W. Ford, John Eberhardt, T. R. Huerta 2017 Cleveland State University

Assessing Differences Between Physician's Realized And Anticipated Gains From Electronic Health Record Adoption, Lori T. Peterson, Eric W. Ford, John Eberhardt, T. R. Huerta

Lori Peterson

Return on investment (ROI) concerns related to Electronic Health Records (EHRs) are a major barrier to the technology’s adoption. Physicians generally rely upon early adopters to vet new technologies prior to putting them into widespread use. Therefore, early adopters’ experiences with EHRs play a major role in determining future adoption patterns. The paper’s purposes are: (1) to map the EHR value streams that define the ROI calculation; and (2) to compare Current Users’ and Intended Adopters’ perceived value streams to identify similarities, differences and governing constructs. Primary data was collected by the Texas Medical Association, which surveyed 1 ...


Let’S Try Something New: Service Learning In Boise State's Computer Science Department, Daniel Kondratyuk 2017 Boise State University

Let’S Try Something New: Service Learning In Boise State's Computer Science Department, Daniel Kondratyuk

International Journal of Undergraduate Community Engagement

In this article I explain how a group of Computer Science students at Boise State University participated in a new service learning project. I provide a few testimonials on the students’ experiences and describe the rewarding aspects of service learning in the greater Computer Science community.


Health Portal Functionality And The Use Of Patient-Centered Technology, Anita Joyce Simmons 2017 Walden University

Health Portal Functionality And The Use Of Patient-Centered Technology, Anita Joyce Simmons

Walden Dissertations and Doctoral Studies

Health portals are dedicated web pages for medical practices to provide patients access to their electronic health records. The problem identified in this quality improvement project was that the health portal in the urgent care setting had not been available to staff nor patients. To provide leadership with information related to opening the portal, the first purpose of the project was to assess staff and patients' perceived use, ease of use, attitude toward using, and intention to use the portal. The second purpose was to evaluate the portal education materials for the top 5 urgent care diagnoses: diabetes, hypertension, asthma ...


Educating Nurses On Workflow Changes From Electronic Health Record Adoption, Rhoda Lynn Atienza San Jose 2017 Walden University

Educating Nurses On Workflow Changes From Electronic Health Record Adoption, Rhoda Lynn Atienza San Jose

Walden Dissertations and Doctoral Studies

Workflow issues related to adoption of the electronic health record (EHR) has led to unsafe workarounds, decreased productivity, inefficient clinical documentation and slow rates of EHR adoption. The problem addressed in this quality improvement project was nurses' lack of knowledge about workflow changes due to EHR adoption. The purpose of this project was to identify changes in workflow and to develop an educational module to communicate the changes. This project was guided by both the ADDIE model (analysis, design, development, implementation, and evaluation) and the diffusion of innovations theory. Five stages were involved: process mapping, cognitive walkthrough, eLearning module development ...


Strategies Hospital Leaders Use In Implementing Electronic Medical Record Systems, Shaunette Miller 2017 Walden University

Strategies Hospital Leaders Use In Implementing Electronic Medical Record Systems, Shaunette Miller

Walden Dissertations and Doctoral Studies

Some hospital leaders lacked strategies for implementing electronic medical record (EMR) systems. The purpose of this case study was to explore successful strategies that hospital leaders used in implementing EMR systems. The target population consisted of hospital leaders who succeeded in implementing EMR systems in a single healthcare organization located in the Los Angeles, California region. The conceptual framework used was Kotter's (1996) eight-step process for leading change, and data were collected from face-to-face recorded interviews with 5 participants and from company documents related to EMR design and development. Data were analyzed through methodological triangulation of data types, and ...


Overcoming The Adverse Impact Of Internal Subculture Communications Within Organizations, Terrence Lee Farrier 2017 Walden University

Overcoming The Adverse Impact Of Internal Subculture Communications Within Organizations, Terrence Lee Farrier

Walden Dissertations and Doctoral Studies

The need for clear and organizationally effective communications is necessary to maintain sustainability as competition increases. Current research has not addressed problems associated with senior managers' clarity and intent and the misinterpretation by midlevel managers of that intent, causing division managers to misinterpret the company plans. Unresolved miscommunications may lead to destructive subculture development. This mixed methods design focused on how to minimize the confusion that manifests between senior and midlevel management within diverse and decentralized decision support structures. The secondary purpose was to advocate for the identification of divisional misalignment and provide information for a tool to help senior ...


Strategies For U.S. City Government Enterprise Resource Planning System Implementation Success, Jennifer Miller 2017 Walden University

Strategies For U.S. City Government Enterprise Resource Planning System Implementation Success, Jennifer Miller

Walden Dissertations and Doctoral Studies

Strategies for enterprise resource planning (ERP) system implementation success have been a focus of scholars since the 1990s. Researchers have demonstrated that ERP system implementation could cause both system failures and organization failures, affecting both operations and stakeholders. The theory of constraints was the conceptual framework for this single qualitative case study that explored ERP system critical success factors (CSFs) and strategies U.S. city governments use to successfully implement ERP systems. One city government in New Mexico with a successful ERP system served as the case study's population. Data were collected from semistructured interviews and relevant documents and ...


Using An Online Learning Tutorial To Teach Rea Data Modelling In Accounting Information Systems Courses, Poh Sun SEOW, PAN, Gary 2017 Singapore Management University

Using An Online Learning Tutorial To Teach Rea Data Modelling In Accounting Information Systems Courses, Poh Sun Seow, Pan, Gary

Research Collection School Of Accountancy

Online learning has been gaining widespread adoption due to its success in enhancing student-learning outcomes and improving student academic performance. This paper describes an online tutorial to teach resource-event-agent (REA) data modeling in an undergraduate accounting information systems course. The REA online tutorial reflects a self-study application designed to help students improve their understanding of the REA data model. As such, the tutorial acts as a supplement to lectures by reinforcing the concepts and incorporating practices to assess student understanding. Instructors can access the REA online tutorial at http://smu.sg/rea. An independent survey by the University's Centre ...


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