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Journal ArticleDOI

Actionable knowledge discovery and delivery

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TLDR
Thorough and innovative retrospection and thinking are timely in bridging the gaps and promoting data mining toward next‐generation research and development: namely, the paradigm shift from knowledge discovery from data to actionable knowledge discovery and delivery.
Abstract
Actionable knowledge has been qualitatively and intensively studied in the social sciences. Its marriage with data mining is only a recent story. On the one hand, data mining has been booming for a while and has attracted an increasing variety of increasing applications. On the other, it is a reality that the so-called knowledge discovered from data by following the classic frameworks often cannot support meaningful decision-making actions. This shows the poor relationship and significant gap between data mining research and practice, and between knowledge, power, and action, and forms an increasing imbalance between research outcomes and business needs. Thorough and innovative retrospection and thinking are timely in bridging the gaps and promoting data mining toward next-generation research and development: namely, the paradigm shift from knowledge discovery from data to actionable knowledge discovery and delivery. © 2012 Wiley Periodicals, Inc. © 2012 Wiley Periodicals, Inc.

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Efficiently Mining Top-K High Utility Sequential Patterns

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Beyond sharing: cultivating cooperative transportation systems through geographic information science

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References
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Book

Knowledge for Action: A Guide to Overcoming Barriers to Organizational Change

Chris Argyris
TL;DR: In this article, the authors present a model for change and improvement in an organization, focusing on the following: Interview and observe the players, and then conduct meaningful feedback sessions with live cases.
Journal ArticleDOI

What makes patterns interesting in knowledge discovery systems

TL;DR: The focus of the paper is on studying subjective measures of interestingness, which are classified into actionable and unexpected, and the relationship between them is examined.
Book

Service-Oriented Computing: Semantics, Processes, Agents

TL;DR: This paper presents a meta-answering of the principles of Service-Oriented Computing with a focus on how to model and manage engagement in the context of web services.
Journal ArticleDOI

More Than an Answer: Information Relationships for Actionable Knowledge

TL;DR: This research employs both qualitative and quantitative methods to investigate how personal sources of information contribute to actionable knowledge and draws implications for the study of social capital and organizational learning.
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