Segmenting time series for weather forecasting

S G  Sripada; Ehud Baruch Reiter; J  Hunter; Jin Yu

Segmenting time series for weather forecasting

S G Sripada, Ehud Baruch Reiter, J Hunter, Jin Yu

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

4 Citations (Web of Science)

Abstract

We are investigating techniques for producing textual summaries of time series data. Deep reasoning techniques have proven impractical because we lack perfect knowledge about users and their tasks. Data analysis techniques such as segmentation are more attractive, but they have been developed for data mining, not for communication. We examine how segmentation should be modified to make it suitable for generating textual summaries. Our algorithm has been implemented in a weather forecast generation system.

Original language	English
Title of host publication	Applications and Innovations in Intelligent Systems X
Editors	Ann Macintosh, Richard Ellis, Frans Coenen
Publisher	Springer
Pages	193-206
Number of pages	14
ISBN (Print)	978-1-85233-673-8
Publication status	Published - 2003
Event	Twenty-second SGAI International Conference on Knowledge Based Systems and Applied Artificial Intelligence - Cambridge, United Kingdom Duration: 1 Dec 2002 → 1 Dec 2002

Conference

Conference	Twenty-second SGAI International Conference on Knowledge Based Systems and Applied Artificial Intelligence
Country/Territory	United Kingdom
City	Cambridge
Period	1/12/02 → 1/12/02

Cite this

@inproceedings{c522db81c5d149c39afce61e5b9327c8,

title = "Segmenting time series for weather forecasting",

abstract = "We are investigating techniques for producing textual summaries of time series data. Deep reasoning techniques have proven impractical because we lack perfect knowledge about users and their tasks. Data analysis techniques such as segmentation are more attractive, but they have been developed for data mining, not for communication. We examine how segmentation should be modified to make it suitable for generating textual summaries. Our algorithm has been implemented in a weather forecast generation system.",

author = "Sripada, {S G} and Reiter, {Ehud Baruch} and J Hunter and Jin Yu",

year = "2003",

language = "English",

isbn = " 978-1-85233-673-8",

pages = "193--206",

editor = "Ann Macintosh and Richard Ellis and Frans Coenen",

booktitle = "Applications and Innovations in Intelligent Systems X",

publisher = "Springer ",

note = "Twenty-second SGAI International Conference on Knowledge Based Systems and Applied Artificial Intelligence ; Conference date: 01-12-2002 Through 01-12-2002",

}

TY - GEN

T1 - Segmenting time series for weather forecasting

AU - Sripada, S G

AU - Reiter, Ehud Baruch

AU - Hunter, J

AU - Yu, Jin

PY - 2003

Y1 - 2003

N2 - We are investigating techniques for producing textual summaries of time series data. Deep reasoning techniques have proven impractical because we lack perfect knowledge about users and their tasks. Data analysis techniques such as segmentation are more attractive, but they have been developed for data mining, not for communication. We examine how segmentation should be modified to make it suitable for generating textual summaries. Our algorithm has been implemented in a weather forecast generation system.

AB - We are investigating techniques for producing textual summaries of time series data. Deep reasoning techniques have proven impractical because we lack perfect knowledge about users and their tasks. Data analysis techniques such as segmentation are more attractive, but they have been developed for data mining, not for communication. We examine how segmentation should be modified to make it suitable for generating textual summaries. Our algorithm has been implemented in a weather forecast generation system.

M3 - Published conference contribution

SN - 978-1-85233-673-8

SP - 193

EP - 206

BT - Applications and Innovations in Intelligent Systems X

A2 - Macintosh, Ann

A2 - Ellis, Richard

A2 - Coenen, Frans

PB - Springer

T2 - Twenty-second SGAI International Conference on Knowledge Based Systems and Applied Artificial Intelligence

Y2 - 1 December 2002 through 1 December 2002

ER -

Segmenting time series for weather forecasting

Abstract

Conference

Fingerprint

Cite this