Zobrazeno 1 - 10
of 20
pro vyhledávání: '"HONG-CHEU LIU"'
Publikováno v:
AI 2020: Advances in Artificial Intelligence ISBN: 9783030649838
Australasian Conference on Artificial Intelligence
Australasian Conference on Artificial Intelligence
Algorithmic fairness is an important aspect when data is used for predictive purposes. This paper analyses the sources of discrimination, and proposes sufficient conditions for building non-discriminatory/fair predictive models in the presence of con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d639eb6785ff9c9bd3801e8da9628d2
https://hdl.handle.net/11541.2/146370
https://hdl.handle.net/11541.2/146370
Autor:
Jixue Liu, Hong-Cheu Liu
We extend the constraint data model to allow complex objects and study the expressive power of various query languages over this sort of constraint databases. The tools we use come in the form of collapse results which are well established in the con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c03cfce2bd70b65363fb4cf9ea931ba
https://hdl.handle.net/11541.2/138258
https://hdl.handle.net/11541.2/138258
Publikováno v:
ACM Transactions on Database Systems. 40:1-18
To address the frequently occurring situation where data is inexact or imprecise, a number of extensions to the classical notion of a functional dependency (FD) integrity constraint have been proposed in recent years. One of these extensions is the n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efe82992eed549f8e2c26c298e645a0b
https://doi.org/10.1145/2757214
https://doi.org/10.1145/2757214
Publikováno v:
Information Sciences. 178:2507-2533
This paper considers the theory of database queries on the complex value data model with external functions. Motivated by concerns regarding query evaluation, we first identify recursive sets of formulas, called embedded allowed, which is a class wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22cbbc328fe29bdbd2da56ffa7ef2e42
https://doi.org/10.1016/j.ins.2008.02.005
https://doi.org/10.1016/j.ins.2008.02.005
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319086071
ADC
ADC
We present a logical framework for querying inductive databases, which can accommodate a variety of data mining tasks, such as classification, clustering, finding frequent patterns and outliers detection. We also address the important issues of the e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f26c5bff1145cbe96d1e118d26b9b13a
https://hdl.handle.net/11541.2/120076
https://hdl.handle.net/11541.2/120076
Autor:
Hong-Cheu Liu
Publikováno v:
Database Systems for Advanced Applications ISBN: 9783642201516
DASFAA (2)
DASFAA (2)
Motivated by constraint complex values which allow us to represent nested finitely representable sets, we study the expressive power of various query languages over constraint complex value databases. The tools we use come in the form of collapse res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f6ba538e60645551f7882c8911a2097
https://doi.org/10.1007/978-3-642-20152-3_15
https://doi.org/10.1007/978-3-642-20152-3_15
Publikováno v:
Database Systems for Advanced Applications ISBN: 9783642120978
DASFAA (2)
DASFAA (2)
In this paper, we present a theoretical foundation for querying inductive databases, which can accommodate disparate mining tasks. We present a data mining algebra including some essential operations for manipulating data and patterns and illustrate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07011e7d13017ec1eabdae24b3a6cbc1
https://hdl.handle.net/1959.8/152159
https://hdl.handle.net/1959.8/152159
Autor:
Jeffrey Xu Yu, Hong-Cheu Liu
Publikováno v:
Progress in WWW Research and Development ISBN: 9783540788485
APWeb
APWeb
In this paper, we study the safety of formulas, computability and local property of Web queries. The limited access capability and loosely structured information make querying the Web significantly different from querying a conventional database. Whe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbb392a34c2ed861e23170dce0a4994a
https://doi.org/10.1007/978-3-540-78849-2_27
https://doi.org/10.1007/978-3-540-78849-2_27
Publikováno v:
Computational Science – ICCS 2007 ISBN: 9783540725831
International Conference on Computational Science (1)
International Conference on Computational Science (1)
In this paper, we discuss the main problems of inductive query languages and optimisation issues. We present a logic-based inductive query language and illustrate the use of aggregates and exploit a new join operator to model specific data mining tas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34ee7b5c6d39aea00c9ce560b3b5bbf1
https://doi.org/10.1007/978-3-540-72584-8_35
https://doi.org/10.1007/978-3-540-72584-8_35
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540311584
APWeb Workshops
APWeb Workshops
In this paper, we propose a new framework, called XLogic- Miner, to mine association rules from XML data. We consider the generate-and-test and the frequent-pattern growth approaches. In XLogic-Miner, we propose an novel method to represent a frequen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e20fe38945b8486a47d41e66ce8294ab
https://doi.org/10.1007/11610496_11
https://doi.org/10.1007/11610496_11