Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Li, Shiang"'
Publikováno v:
AASRI Procedia. 4:282-287
The use of Radio Frequency Identification (RFID) technology is seeing increasing use in all areas of industry. Companies and government agencies have implemented RFID solutions to make their inventory control systems more efficient. In the healthcare
Publikováno v:
TAAI
Finding semantic associations from a vast amount of heterogeneous data is an important and useful task in various applications. We present a framework to extract semantic association patterns directly from a very large graph dataset without the extra
Publikováno v:
Asian Journal of Control. 12:292-308
This paper proposes a FPGA controller design of a driver circuit based Petri nets for the Plasma Display Panel (PDP). In such a driver circuit, complicated control logic is required in the PDP sustainer circuit to implement the sustaining voltage wav
Autor:
Li-Shiang Tsay, Osman Gurdal
Publikováno v:
Rough Sets and Intelligent Systems-Professor Zdzisław Pawlak in Memoriam ISBN: 9783642303401
Rough Sets and Intelligent Systems (2)
Rough Sets and Intelligent Systems (2)
One of the main goals of knowledge discovery is to find nuggets of useful knowledge that could influence or help users in a decision-making process. This task can be viewed as searching in an immense space for possible actionable concepts. Most of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a96ebc87a565c9f87c446e273e780103
https://doi.org/10.1007/978-3-642-30341-8_29
https://doi.org/10.1007/978-3-642-30341-8_29
Publikováno v:
TAAI
Information and Communication Technology (ICT) has been considered an important avenue for ensuring patients' good health, full social participation, and independent living as long as possible through their entire life span. In the last decade, vario
Autor:
Li-Shiang Tsay, Seunghyun Im
Publikováno v:
Next-Generation Applied Intelligence ISBN: 9783642025679
IEA/AIE
IEA/AIE
The increased competition faced by today's companies can wield data mining tools to extract actionable knowledge and then use it as a weapon to outmaneuver competitors and boost revenue. Mining reclassification rules is a way to model actionable patt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2acedde90acfd5251e31704ffca90851
https://doi.org/10.1007/978-3-642-02568-6_82
https://doi.org/10.1007/978-3-642-02568-6_82
Autor:
Seunghyun Im, Li-Shiang Tsay
Publikováno v:
NCM
A series of mining actionable rule methods have been proposed from various aspects, but the existing models do not incorporate the concept of hierarchy/taxonomy into the mining process and restrict the terms used to build actionable rules to atomic c
Publikováno v:
2008 IEEE International Conference on Data Mining Workshops.
The ultimate goal of knowledge discovery (KD) is to extract sets of patterns leading to useful knowledge for obtaining user desirable outcomes. The key characteristics of knowledge usefulness is that these patterns are actionable. In the last decade,
Publikováno v:
Studies in Computational Intelligence ISBN: 9783540880660
Mining Complex Data
Mining Complex Data
One of the main goals in Knowledge Discovery is to find interesting associations between values of attributes, those that are meaningful in a domain of interest. The most effective way to reduce the amount of discovered patterns is to apply two inter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f9ab263e1c30ff695f53bae04339d7b
https://doi.org/10.1007/978-3-540-88067-7_9
https://doi.org/10.1007/978-3-540-88067-7_9
Publikováno v:
Rough Sets and Knowledge Technology ISBN: 9783540797203
RSKT
RSKT
This paper introduces the use of ERID [1] algorithm for classification rule discovery at various levels of granularity. We use an incomplete information system and attribute value hierarchy to extract rules. The incomplete information system is capab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39e9738761cadbf29dd9c882fd03bbe8
https://doi.org/10.1007/978-3-540-79721-0_67
https://doi.org/10.1007/978-3-540-79721-0_67