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Intelligent Systems, IEEE

Issue 3 • Date May-June 2015

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Displaying Results 1 - 15 of 15
  • Front Cover

    Publication Year: 2015 , Page(s): c1
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  • Table of Contents

    Publication Year: 2015 , Page(s): c2 - 1
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  • AI Ethics: Science Fiction Meets Technological Reality

    Publication Year: 2015 , Page(s): 2 - 5
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  • Predictive Analytics: Predictive Modeling at the Micro Level

    Publication Year: 2015 , Page(s): 6 - 8
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  • Predicting Location-Based Sequential Purchasing Events by Using Spatial, Temporal, and Social Patterns

    Publication Year: 2015 , Page(s): 10 - 17
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1113 KB)  

    Location-based sequential event prediction is an interesting problem with many real-world applications. For example, knowing when and where people will use certain kinds of services could enable the development of robust anticipatory systems. A key to this problem is in understanding the nature of the process from which sequential data arises. Usually, human behavior exhibits distinct spatial, tem... View full abstract»

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  • A Twitter Hashtag Recommendation Model that Accommodates for Temporal Clustering Effects

    Publication Year: 2015 , Page(s): 18 - 25
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    Hashtags in social medial platforms such as Twitter are important for accessing related messages as well as for tracking and detecting events. Motivated by the observation that the average hashtag experiences a life cycle of increasing and decreasing popularity, the authors propose the Topic-over-Time Mixed Membership Model (TOT-MMM), a hashtag recommendation approach that captures the temporal cl... View full abstract»

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  • Does Summarization Help Stock Prediction? A News Impact Analysis

    Publication Year: 2015 , Page(s): 26 - 34
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    The authors study the problem of how news summarization can help stock price prediction, proposing a generic stock price prediction framework to enable the use of different external signals to predict stock prices. Experiments were conducted on five years of Hong Kong Stock Exchange data, with news reported by Finet; evaluations were performed at individual stock, sector index, and market index le... View full abstract»

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  • Predicting behavior

    Publication Year: 2015 , Page(s): 35 - 43
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (979 KB)  

    Behavior prediction has become an important area of emphasis, with applications ranging from e-commerce, marketing analytics, and financial forecasting to smart health, security informatics, and crime prevention. However, traditional behavior modeling approaches have shortcomings: heavy reliance on objective, observed data, and a failure to consider the granular, micro-level decisions and actions ... View full abstract»

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  • Identifying adverse drug events from patient social media: A case study for diabetes

    Publication Year: 2015 , Page(s): 44 - 51
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    Patient social media sites have emerged as major platforms for discussion of treatments and drug side effects, making them a promising source for listening to patients' voices in adverse drug event reporting. However, extracting patient reports from social media continues to be a challenge in health informatics research. In light of the need for more robust extraction methods, the authors develope... View full abstract»

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  • A multi-agent-based power system hybrid dynamic state estimator

    Publication Year: 2015 , Page(s): 52 - 59
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    This article proposes a multi-agent-based power system hybrid dynamic state estimator (PSHDSE) that uses field measurements from remote terminal units (RTUs) as well as phasor measurement units (PMUs). The standard cubature Kalman filter (CKF) process is modified to make it suitable for PSHDSE execution, and software agents are utilized to receive data and run PSHDSE for the RTU and PMU measuremen... View full abstract»

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  • Engineering ambient intelligence systems using agent technology

    Publication Year: 2015 , Page(s): 60 - 67
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1936 KB)  

    This article shows how to model and implement an ambient intelligence (AmI) system using agent technology. The HERA project, undertaken by a consortium with members from academia as well as industry, applied the agent systems engineering methodology (ASEME), an agent-oriented software engineering approach, to develop a real-world system for the ambient assisted living application domain. This arti... View full abstract»

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  • Principles for human-centered interaction design, Part 2: Can humans and machines think together?

    Publication Year: 2015 , Page(s): 68 - 75
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    This column introduces the Network Observatory, a human-centered cyber sensemaking system, and discusses the visual and sensemaking design principles employed therein. View full abstract»

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  • Simple is beautiful: Toward light prediction markets

    Publication Year: 2015 , Page(s): 76 - 80
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (915 KB)  

    This column examines the cognitive load of prediction markets from four steps of user's decision process (that is, timing, pricing, revisiting, and benefit) and discusses how a prediction market mechanism could have a low cognitive load. In the column, the authors propose that fixed-odds betting can be used as a prediction market mechanism with carefully designed event probability estimators. The ... View full abstract»

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  • IEEE Cloud Computing Call for Papers House Advertisement

    Publication Year: 2015 , Page(s): c3
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  • New Title from IEEE CS Press House Advertisement

    Publication Year: 2015 , Page(s): c4
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Aims & Scope

IEEE Intelligent Systems serves users, managers, developers, researchers, and purchasers who are interested in intelligent systems and artificial intelligence, with particular emphasis on applications.

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Meet Our Editors

Editor-in-Chief
Daniel Zeng
University of Arizona