D. Cook | Semantic Scholar

Publications
Influence

Liming Luke Chen, J. Hoey, C. Nugent, D. Cook, Zhiwen Yu
Computer Science
IEEE Transactions on Systems, Man, and…
1 November 2012

A comprehensive survey to examine the development and current status of various aspects of sensor-based activity recognition, making a primary distinction in this paper between data-driven and knowledge-driven approaches.

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Substructure Discovery Using Minimum Description Length and Background Knowledge

D. Cook, L. Holder
Computer Science
J. Artif. Intell. Res.
1 August 1993

A new version of the SUBDUE substructure discovery system based on the minimum description length principle is described, which discovers substructures that compress the original data and represent structural concepts in the data.

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A survey of methods for time series change point detection

Samaneh Aminikhanghahi, D. Cook
Computer Science
Knowledge and Information Systems
1 May 2017

This survey article enumerates, categorizes, and compares many of the methods that have been proposed to detect change points in time series, and presents some grand challenges for the community to consider.

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CASAS: A Smart Home in a Box

D. Cook, Aaron S. Crandall, Brian L. Thomas, N. C. Krishnan
Art
Computer
1 July 2013

The CASAS architecture facilitates the development and implementation of future smart home technologies by offering an easy-to-install lightweight design that provides smart home capabilities out of…

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Learning Setting-Generalized Activity Models for Smart Spaces

D. Cook
Computer Science
IEEE Intelligent Systems
2012

Smart home activity recognition systems can learn generalized models for common activities that span multiple environment settings and resident types to help solve the challenge of integrating smart home technology into everyday life.

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Activity recognition on streaming sensor data

N. C. Krishnan, D. Cook
Computer Science
Pervasive Mob. Comput.
1 February 2014

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Ambient intelligence: Technologies, applications, and opportunities

D. Cook, J. Augusto, V. Jakkula
Computer Science
Pervasive Mob. Comput.
1 August 2009

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How smart are our environments? An updated look at the state of the art

D. Cook, Sajal K. Das
Computer Science
Pervasive Mob. Comput.
1 March 2007

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Graph-Based Data Mining

D. Cook, L. Holder
Computer Science
IEEE Intell. Syst.
1 March 2000

Using databases represented as graphs, the Subdue system performs two key data mining techniques: unsupervised pattern discovery and supervised concept learning from examples. Applications to large…

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Substucture Discovery in the SUBDUE System

L. Holder, D. Cook, Surnjani Djoko
Computer Science
KDD Workshop
31 July 1994

The SUBDUE system, which uses the minimum description length (MDL) principle to discover substructures that compress the database and represent structural concepts in the data, is described.