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358 results on '"Barker, Ken"'

1. Distilling Event Sequence Knowledge From Large Language Models

Author

Wadhwa, Somin, Hassanzadeh, Oktie, Bhattacharjya, Debarun, Barker, Ken, Ni, Jian, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Demartini, Gianluca, editor, Hose, Katja, editor, Acosta, Maribel, editor, Palmonari, Matteo, editor, Cheng, Gong, editor, Skaf-Molli, Hala, editor, Ferranti, Nicolas, editor, Hernández, Daniel, editor, and Hogan, Aidan, editor

Published
2025
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2. The Privacy Policy Permission Model: A Unified View of Privacy Policies

Author

Majedi, Maryam and Barker, Ken

Subjects
Computer Science - Cryptography and Security, Computer Science - Computers and Society
Abstract

Organizations use privacy policies to communicate their data collection practices to their clients. A privacy policy is a set of statements that specifies how an organization gathers, uses, discloses, and maintains a client's data. However, most privacy policies lack a clear, complete explanation of how data providers' information is used. We propose a modeling methodology, called the Privacy Policy Permission Model (PPPM), that provides a uniform, easy-to-understand representation of privacy policies, which can accurately and clearly show how data is used within an organization's practice. Using this methodology, a privacy policy is captured as a diagram. The diagram is capable of highlighting inconsistencies and inaccuracies in the privacy policy. The methodology supports privacy officers in properly and clearly articulating an organization's privacy policy., Comment: 23 pages + 2 pages references + 11 Pages Appendix, 19 figures,Published in teh Trasactions on Data Privacy in April 2021

Published
2024

3. Distilling Event Sequence Knowledge From Large Language Models

Author

Wadhwa, Somin, Hassanzadeh, Oktie, Bhattacharjya, Debarun, Barker, Ken, and Ni, Jian

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence
Abstract

Event sequence models have been found to be highly effective in the analysis and prediction of events. Building such models requires availability of abundant high-quality event sequence data. In certain applications, however, clean structured event sequences are not available, and automated sequence extraction results in data that is too noisy and incomplete. In this work, we explore the use of Large Language Models (LLMs) to generate event sequences that can effectively be used for probabilistic event model construction. This can be viewed as a mechanism of distilling event sequence knowledge from LLMs. Our approach relies on a Knowledge Graph (KG) of event concepts with partial causal relations to guide the generative language model for causal event sequence generation. We show that our approach can generate high-quality event sequences, filling a knowledge gap in the input KG. Furthermore, we explore how the generated sequences can be leveraged to discover useful and more complex structured knowledge from pattern mining and probabilistic event models. We release our sequence generation code and evaluation framework, as well as corpus of event sequence data., Comment: In Proceedings of 23rd International Semantic Web Conference (ISWC), 2024

Published
2024

4. An Evaluation Framework for Mapping News Headlines to Event Classes in a Knowledge Graph

Author

Mbouadeu, Steve Fonin, Lorenzo, Martin, Barker, Ken, and Hassanzadeh, Oktie

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence
Abstract

Mapping ongoing news headlines to event-related classes in a rich knowledge base can be an important component in a knowledge-based event analysis and forecasting solution. In this paper, we present a methodology for creating a benchmark dataset of news headlines mapped to event classes in Wikidata, and resources for the evaluation of methods that perform the mapping. We use the dataset to study two classes of unsupervised methods for this task: 1) adaptations of classic entity linking methods, and 2) methods that treat the problem as a zero-shot text classification problem. For the first approach, we evaluate off-the-shelf entity linking systems. For the second approach, we explore a) pre-trained natural language inference (NLI) models, and b) pre-trained large generative language models. We present the results of our evaluation, lessons learned, and directions for future work. The dataset and scripts for evaluation are made publicly available., Comment: Presented at CASE 2023 @ RANLP https://aclanthology.org/2023.case-1.6/

Published
2023

6. ELICA: An Automated Tool for Dynamic Extraction of Requirements Relevant Information

Author

Abad, Zahra Shakeri Hossein, Gervasi, Vincenzo, Zowghi, Didar, and Barker, Ken

Subjects
Computer Science - Software Engineering, Computer Science - Computation and Language, Computer Science - Information Retrieval, Statistics - Machine Learning
Abstract

Requirements elicitation requires extensive knowledge and deep understanding of the problem domain where the final system will be situated. However, in many software development projects, analysts are required to elicit the requirements from an unfamiliar domain, which often causes communication barriers between analysts and stakeholders. In this paper, we propose a requirements ELICitation Aid tool (ELICA) to help analysts better understand the target application domain by dynamic extraction and labeling of requirements-relevant knowledge. To extract the relevant terms, we leverage the flexibility and power of Weighted Finite State Transducers (WFSTs) in dynamic modeling of natural language processing tasks. In addition to the information conveyed through text, ELICA captures and processes non-linguistic information about the intention of speakers such as their confidence level, analytical tone, and emotions. The extracted information is made available to the analysts as a set of labeled snippets with highlighted relevant terms which can also be exported as an artifact of the Requirements Engineering (RE) process. The application and usefulness of ELICA are demonstrated through a case study. This study shows how pre-existing relevant information about the application domain and the information captured during an elicitation meeting, such as the conversation and stakeholders' intentions, can be captured and used to support analysts achieving their tasks., Comment: 2018 IEEE 26th International Requirements Engineering Conference Workshops

Published
2018

7. Dynamic Visual Analytics for Elicitation Meetings with ELICA

Author

Abad, Zahra Shakeri Hossein, Rahman, Munib, Cheema, Abdullah, Gervasi, Vincenzo, Zowghi, Didar, and Barker, Ken

Subjects
Computer Science - Computers and Society, Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

Requirements elicitation can be very challenging in projects that require deep domain knowledge about the system at hand. As analysts have the full control over the elicitation process, their lack of knowledge about the system under study inhibits them from asking related questions and reduces the accuracy of requirements provided by stakeholders. We present ELICA, a generic interactive visual analytics tool to assist analysts during requirements elicitation process. ELICA uses a novel information extraction algorithm based on a combination of Weighted Finite State Transducers (WFSTs) (generative model) and SVMs (discriminative model). ELICA presents the extracted relevant information in an interactive GUI (including zooming, panning, and pinching) that allows analysts to explore which parts of the ongoing conversation (or specification document) match with the extracted information. In this demonstration, we show that ELICA is usable and effective in practice, and is able to extract the related information in real-time. We also demonstrate how carefully designed features in ELICA facilitate the interactive and dynamic process of information extraction.

Published
2018

8. Task Interruption in Software Development Projects: What Makes some Interruptions More Disruptive than Others?

Author

Abad, Zahra Shakeri Hossein, Karras, Oliver, Schneider, Kurt, Barker, Ken, and Bauer, Mike

Subjects
Computer Science - Software Engineering
Abstract

Multitasking has always been an inherent part of software development and is known as the primary source of interruptions due to task switching in software development teams. Developing software involves a mix of analytical and creative work, and requires a significant load on brain functions, such as working memory and decision making. Thus, task switching in the context of software development imposes a cognitive load that causes software developers to lose focus and concentration while working thereby taking a toll on productivity. To investigate the disruptiveness of task switching and interruptions in software development projects, and to understand the reasons for and perceptions of the disruptiveness of task switching we used a mixed-methods approach including a longitudinal data analysis on 4,910 recorded tasks of 17 professional software developers, and a survey of 132 software developers. We found that, compared to task-specific factors (e.g. priority, level, and temporal stage), contextual factors such as interruption type (e.g. self/external), time of day, and task type and context are a more potent determinant of task switching disruptiveness in software development tasks. Furthermore, while most survey respondents believe external interruptions are more disruptive than self-interruptions, the results of our retrospective analysis reveals otherwise. We found that self-interruptions (i.e. voluntary task switchings) are more disruptive than external interruptions and have a negative effect on the performance of the interrupted tasks. Finally, we use the results of both studies to provide a set of comparative vulnerability and interaction patterns which can be used as a mean to guide decision-making and forecasting the consequences of task switching in software development teams.

Published
2018

9. Two Sides of the Same Coin: Software Developers' Perceptions of Task Switching and Task Interruption

Author

Abad, Zahra Shakeri Hossein, Noaeen, Mohammad, Zowghi, Didar, Far, Behrouz H., and Barker, Ken

Subjects
Computer Science - Software Engineering
Abstract

In the constantly evolving world of software development, switching back and forth between tasks has become the norm. While task switching often allows developers to perform tasks effectively and may increase creativity via the flexible pathway, there are also consequences to frequent task-switching. For high-momentum tasks like software development, "flow", the highly productive state of concentration, is paramount. Each switch distracts the developers' flow, requiring them to switch mental state and an additional immersion period to get back into the flow. However, the wasted time due to time fragmentation caused by task switching is largely invisible and unnoticed by developers and managers. We conducted a survey with 141 software developers to investigate their perceptions of differences between task switching and task interruption and to explore whether they perceive task switchings as disruptive as interruptions. We found that practitioners perceive considerable similarities between the disruptiveness of task switching (either planned or unplanned) and random interruptions. The high level of cognitive cost and low performance are the main consequences of task switching articulated by our respondents. Our findings broaden the understanding of flow change among software practitioners in terms of the characteristics and categories of disruptive switches as well as the consequences of interruptions caused by daily stand-up meetings.

Published
2018

10. Towards Breaking the Curse of Dimensionality for High-Dimensional Privacy: An Extended Version

Author

Zakerzadeh, Hessam, Aggrawal, Charu C., and Barker, Ken

Subjects
Computer Science - Databases
Abstract

The curse of dimensionality has remained a challenge for a wide variety of algorithms in data mining, clustering, classification and privacy. Recently, it was shown that an increasing dimensionality makes the data resistant to effective privacy. The theoretical results seem to suggest that the dimensionality curse is a fundamental barrier to privacy preservation. However, in practice, we show that some of the common properties of real data can be leveraged in order to greatly ameliorate the negative effects of the curse of dimensionality. In real data sets, many dimensions contain high levels of inter-attribute correlations. Such correlations enable the use of a process known as vertical fragmentation in order to decompose the data into vertical subsets of smaller dimensionality. An information-theoretic criterion of mutual information is used in the vertical decomposition process. This allows the use of an anonymization process, which is based on combining results from multiple independent fragments. We present a general approach which can be applied to the k-anonymity, l-diversity, and t-closeness models. In the presence of inter-attribute correlations, such an approach continues to be much more robust in higher dimensionality, without losing accuracy. We present experimental results illustrating the effectiveness of the approach. This approach is resilient enough to prevent identity, attribute, and membership disclosure attack., Comment: 13 pages, An extended version of the paper accepted in 2014 SIAM international conference on Data Mining

Published
2014

11. Privacy Protection or Data Value: Can We Have Both?

Author

Barker, Ken, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Kumar, Naveen, editor, and Bhatnagar, Vasudha, editor

Published
2015
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13. Query Driven Hypothesis Generation for Answering Queries over NLP Graphs

Author

Welty, Chris, Barker, Ken, Aroyo, Lora, Arora, Shilpa, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Cudré-Mauroux, Philippe, editor, Heflin, Jeff, editor, Sirin, Evren, editor, Tudorache, Tania, editor, Euzenat, Jérôme, editor, Hauswirth, Manfred, editor, Parreira, Josiane Xavier, editor, Hendler, Jim, editor, Schreiber, Guus, editor, Bernstein, Abraham, editor, and Blomqvist, Eva, editor

Published
2012
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14. Privacy Consensus in Anonymization Systems via Game Theory

Author

Karimi Adl, Rosa, Askari, Mina, Barker, Ken, Safavi-Naini, Reihaneh, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Cuppens-Boulahia, Nora, editor, Cuppens, Frédéric, editor, and Garcia-Alfaro, Joaquin, editor

Published
2012
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15. Quantifying Privacy Violations

Author

Banerjee, Mishtu, Karimi Adl, Rosa, Wu, Leanne, Barker, Ken, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Jonker, Willem, editor, and Petković, Milan, editor

Published
2011
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17. Helping Biologists Effectively Build Workflows, without Programming

Author

Gordon, Paul M. K., Barker, Ken, Sensen, Christoph W., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Istrail, Sorin, editor, Pevzner, Pavel, editor, Waterman, Michael S., editor, Lambrix, Patrick, editor, and Kemp, Graham, editor

Published
2010
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19. Privacy FP-Tree

Author

Pun, Sampson, Barker, Ken, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Chen, Lei, editor, Liu, Chengfei, editor, Liu, Qing, editor, and Deng, Ke, editor

Published
2009
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20. Answering Multiple-Item Queries in Data Broadcast Systems

Author

Omotayo, Adesola, Barker, Ken, Hammad, Moustafa, Higham, Lisa, Kawash, Jalal, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, and Sexton, Alan P., editor

Published
2009
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21. A Data Privacy Taxonomy

Author

Barker, Ken, Askari, Mina, Banerjee, Mishtu, Ghazinour, Kambiz, Mackas, Brenan, Majedi, Maryam, Pun, Sampson, Williams, Adepele, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, and Sexton, Alan P., editor

Published
2009
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23. P4A: A New Privacy Model for XML

Author

Duta, Angela C., Barker, Ken, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, and Atluri, Vijay, editor

Published
2008
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25. Clustering by Integrating Multi-objective Optimization with Weighted K-Means and Validity Analysis

Author

Özyer, Tansel, Alhajj, Reda, Barker, Ken, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Corchado, Emilio, editor, Yin, Hujun, editor, Botti, Vicente, editor, and Fyfe, Colin, editor

Published
2006
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26. Constructing Complete FP-Tree for Incremental Mining of Frequent Patterns in Dynamic Databases

Author

Adnan, Muhaimenul, Alhajj, Reda, Barker, Ken, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Ali, Moonis, editor, and Dapoigny, Richard, editor

Published
2006
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27. Effective Dynamic Replica Maintenance Algorithm for the Grid Environment

Author

Rahman, Rashedur M., Barker, Ken, Alhajj, Reda, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Dough, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Chung, Yeh-Ching, editor, and Moreira, José E., editor

Published
2006
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30. Replica Placement in Data Grid: A Multi-objective Approach

Author

Rahman, Rashedur M., Barker, Ken, Alhajj, Reda, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Zhuge, Hai, editor, and Fox, Geoffrey C., editor

Published
2005
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31. The Biologically Inspired Distributed File System: An Emergent Thinker Instantiation

Author

Camorlinga, Sergio, Barker, Ken, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Babaoglu, Ozalp, editor, Jelasity, Márk, editor, Montresor, Alberto, editor, Fetzer, Christof, editor, Leonardi, Stefano, editor, van Moorsel, Aad, editor, and van Steen, Maarten, editor

Published
2005
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32. Alternative Clustering by Utilizing Multi-objective Genetic Algorithm with Linked-List Based Chromosome Encoding

Author

Du, Jun, Korkmaz, Emin Erkan, Alhajj, Reda, Barker, Ken, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Perner, Petra, editor, and Imiya, Atsushi, editor

Published
2005
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33. Hybrid Approach to Web Content Outlier Mining Without Query Vector

Author

Agyemang, Malik, Barker, Ken, Alhajj, Reda, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Tjoa, A Min, editor, and Trujillo, Juan, editor

Published
2005
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34. Multi-objective Genetic Algorithm Based Clustering Approach and Its Application to Gene Expression Data

Author

Özyer, Tansel, Liu, Yimin, Alhajj, Reda, Barker, Ken, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, and Yakhno, Tatyana, editor

Published
2005
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35. Novel Clustering Approach that Employs Genetic Algorithm with New Representation Scheme and Multiple Objectives

Author

Du, Jun, Korkmaz, Erkan, Alhajj, Reda, Barker, Ken, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Kambayashi, Yahiko, editor, Mohania, Mukesh, editor, and Wöß, Wolfram, editor

Published
2004
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36. Flexible User Interface for Converting Relational Data into XML

Author

Lo, Anthony, Alhajj, Reda, Barker, Ken, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Christiansen, Henning, editor, Hacid, Mohand-Saïd, editor, Andreasen, Troels, editor, and Larsen, Henrik Legind, editor

Published
2004
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37. Utilizing Rough Sets and Multi-objective Genetic Algorithms for Automated Clustering

Author

Özyer, Tansel, Alhajj, Reda, Barker, Ken, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Tsumoto, Shusaku, editor, Słowiński, Roman, editor, Komorowski, Jan, editor, and Grzymała-Busse, Jerzy W., editor

Published
2004
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38. Combining Structured and Unstructured Knowledge Sources for Question Answering in Watson

Author

Barker, Ken, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Istrail, Sorin, editor, Pevzner, Pavel, editor, Waterman, Michael S., editor, Bodenreider, Olivier, editor, and Rance, Bastien, editor

Published
2012
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40. Querying Relational Databases without Explicit Joins

Author

Lawrence, Ramon, Barker, Ken, Goos, G., Series editor, Hartmanis, J., Series editor, van Leeuwen, J., Series editor, Arisawa, Hiroshi, editor, Kambayashi, Yahiko, editor, Kumar, Vijay, editor, Mayr, Heinrich C., editor, and Hunt, Ingrid, editor

Published
2002
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