Sequential Data Mining using Correlation Matrix Memory

Sanil Shanker; Aaron Turner; Elizabeth Sherly; Jim Austin

doi:10.1109/ICNIT.2010.5508469

Sequential Data Mining using Correlation Matrix Memory

Sanil Shanker, Aaron Turner, Elizabeth Sherly, Jim Austin

Computer Science

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

Abstract

This paper proposes a method for sequential data mining using correlation matrix memory. Here, we use the concept of the Logical Match to mine the indices of the sequential pattern. We demonstrate the uniqueness of the method with both the artificial and the real datum taken from the NCBI databank.

Original language	English
Title of host publication	Proceedings. ICNIT 2010 International Conference on Networking and Information Technology
Publisher	IEEE
Pages	470-472
Number of pages	3
DOIs	https://doi.org/10.1109/ICNIT.2010.5508469
Publication status	Published - 2010
Event	Proceedings. ICNIT 2010 International Conference on Networking and Information Technology - Manila, Philippines Duration: 11 Jun 2010 → 12 Jun 2010

Conference

Conference	Proceedings. ICNIT 2010 International Conference on Networking and Information Technology
Country/Territory	Philippines
City	Manila
Period	11/06/10 → 12/06/10

Bibliographical note

© Copyright 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

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10.1109/ICNIT.2010.5508469

ShankerTurnerSherlyAustin 2010Final published version, 120 KB

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title = "Sequential Data Mining using Correlation Matrix Memory",

abstract = "This paper proposes a method for sequential data mining using correlation matrix memory. Here, we use the concept of the Logical Match to mine the indices of the sequential pattern. We demonstrate the uniqueness of the method with both the artificial and the real datum taken from the NCBI databank.",

author = "Sanil Shanker and Aaron Turner and Elizabeth Sherly and Jim Austin",

note = "{\textcopyright} Copyright 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. ; Proceedings. ICNIT 2010 International Conference on Networking and Information Technology ; Conference date: 11-06-2010 Through 12-06-2010",

year = "2010",

doi = "10.1109/ICNIT.2010.5508469",

language = "English",

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booktitle = "Proceedings. ICNIT 2010 International Conference on Networking and Information Technology",

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Shanker, S, Turner, A, Sherly, E & Austin, J 2010, Sequential Data Mining using Correlation Matrix Memory. in Proceedings. ICNIT 2010 International Conference on Networking and Information Technology. IEEE, pp. 470-472, Proceedings. ICNIT 2010 International Conference on Networking and Information Technology, Manila, Philippines, 11/06/10. https://doi.org/10.1109/ICNIT.2010.5508469

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T1 - Sequential Data Mining using Correlation Matrix Memory

AU - Shanker, Sanil

AU - Turner, Aaron

AU - Sherly, Elizabeth

AU - Austin, Jim

N1 - © Copyright 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2010

Y1 - 2010

N2 - This paper proposes a method for sequential data mining using correlation matrix memory. Here, we use the concept of the Logical Match to mine the indices of the sequential pattern. We demonstrate the uniqueness of the method with both the artificial and the real datum taken from the NCBI databank.

AB - This paper proposes a method for sequential data mining using correlation matrix memory. Here, we use the concept of the Logical Match to mine the indices of the sequential pattern. We demonstrate the uniqueness of the method with both the artificial and the real datum taken from the NCBI databank.

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DO - 10.1109/ICNIT.2010.5508469

M3 - Conference contribution

SP - 470

EP - 472

BT - Proceedings. ICNIT 2010 International Conference on Networking and Information Technology

PB - IEEE

T2 - Proceedings. ICNIT 2010 International Conference on Networking and Information Technology

Y2 - 11 June 2010 through 12 June 2010

ER -

Sequential Data Mining using Correlation Matrix Memory

Abstract

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