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Discovery in multi-attribute data with user-defined constraints

Chang-Shing Perng, Haixun Wang, Sheng Ma, Joseph L. Hellerstein
2002 SIGKDD Explorations  
doi:10.1145/568574.568583 fatcat:pvep3uzukna4birwdwdzn4fkba

Deployment of personalized e-catalogues: An agent-based framework integrated with XML metadata and user models

Duen-Ren Liu, Yuh-Jaan Lin, Chung-Min Chen, Ya-Wen Huang
2001 Journal of Network and Computer Applications  
The XML-based metadata model can facilitate resource-discovery and format translation, and can flexibly model the definitions of diverse product attributes in heterogeneous data resources.  ...  This work integrates the agent technology with the proposed metadata model and user model to develop a personalized e-catalogue system.  ...  In addition, the authors want to thank the four reviewers of JNCA of a first draft of this paper for their valuable comments that have assured that this paper has been expanded, corrected and modified  ... 
doi:10.1006/jnca.2001.0132 fatcat:zvgx7fmfyfd7tmhorwkola6xhe

A Multi-constraint Resource Search Algorithm for P2P-SIP Conference Services [chapter]

Hui-Kai Su, Wen-Hsu Hsiao, Jian-Ting Pan, Chen-Hung Liao, Kim-Joan Chen, Chien-Min Wu
2012 Lecture Notes in Computer Science  
Thus, we proposed a multi-constraint resource search algorithm for P2P-SIP conferencing services.  ...  Peer-to-peer conference is an interactive multi-users conferencing application that improves the issues of concentrated loading, single-point failure and expensive infrastructure cost for the traditional  ...  We would like to thank the National Science Council (NSC) in Taiwan. This research was supported in part by the NSC under the grant number NSC100-2221-E-150-077.  ... 
doi:10.1007/978-3-642-35606-3_42 fatcat:jvornyjiejga3nj4tocwo574zq

Distributed Multi-Perspective Declare Discovery

Christian Sturm, Stefan Schönig, Claudio Di Ciccio
2017 International Conference on Business Process Management  
Declarative process models define the behaviour of processes by means of constraints exerted over their activities.  ...  In this paper, we present a fast distributed approach and software prototype to discover multi-perspective declarative models out of event logs, based upon parallel computing.  ...  The user can select the data attributes that should be considered for the MP-DECLARE mining. Columns refer to the activities involved in the constraint.  ... 
dblp:conf/bpm/SturmSC17 fatcat:75rnr6gr4rb4plhnlwsdymoobi

Towards an Effective QoS Prediction of Web Services using Context-Aware Dynamic Bayesian Network Model

2018 Tehnički Vjesnik  
Second, the CABN confronts with the multi-constraint problem while considering the multi-dimensional QoS parameters of similar QoS data in WS discovery.  ...  The functionally equivalent web services (WSs) with different quality of service (QoS) leads to WS discovery models to identify the optimal WS.  ...  By solving the multi-constraint problem while considering the multi-dimensional QoS parameters of similar QoS data in WS discovery employing the QoS normalization technique, the CABN attains accurate QoS  ... 
doi:10.17559/tv-20161104072515 fatcat:i35copwzuveihbbnxphmtqfhfa

Towards the Integration of Constrained Mining with Star Schemas

Andreia Silva, Claudia Antunes
2013 2013 IEEE 13th International Conference on Data Mining Workshops  
Constrained mining is the most used approach to minimize these problems, by applying user defined constraints to filter and focus the discovery process.  ...  A growing challenge in data mining is the ability to deal with complex, voluminous and dynamic data.  ...  a user defined maximum error threshold).  ... 
doi:10.1109/icdmw.2013.102 dblp:conf/icdm/SilvaA13 fatcat:kar6vkrzszhy3odvasheacefzu

Mining Patterns with Domain Knowledge: A Case Study on Multi-language Data

C. Antunes, T. Bebiano
2012 2012 IEEE/ACIS 11th International Conference on Computer and Information Science  
This paper proposes a new method for mining patterns over multi-language data, through the use of the D 2 FP-Growth algorithm and a language constraint, both defined in the context of the referred framework  ...  Multi-language data impairs the application of mining techniques in a generalized form, since language remains an impenetrable barrier.  ...  How to use domain knowledge to guide the discovery process is one of such topics, but dealing with multi-language data also poses new challenges.  ... 
doi:10.1109/icis.2012.70 dblp:conf/ACISicis/AntunesB12 fatcat:yhnmalwdp5hmbb4neikxtvhd5i

The effects of relative importance of user constraints in cloud of things resource discovery

Luiz H. Nunes, Júlio C. Estrella, Alexandre N. Delbem, Charith Perera, Stephan Reiff-Marganiec
2016 Proceedings of the 9th International Conference on Utility and Cloud Computing - UCC '16  
Most of the existent work uses some kind of multi-criteria decision analysis algorithm to perform the resource discovery, but do not evaluate the impact that the user constraints has in the final solution  ...  In this paper, we analyse the behaviour of the SAW, TOPSIS and VIKOR multi-objective decision analyses algorithms and the impact of user constraints on them.  ...  The search is based on keywords and in the QoS attributes desired by the users. The DQS-Cloud aims to minimize the communication overhead reusing data flows with similar QoS levels.  ... 
doi:10.1145/2996890.3007867 dblp:conf/ucc/NunesEDPR16 fatcat:q6aebl45tbhp7ngx7ci4i3eony

Community Discovery on Multi-View Social Networks via Joint Regularized Nonnegative Matrix Triple Factorization

Liangliang ZHANG, Longqi YANG, Yong GONG, Zhisong PAN, Yanyan ZHANG, Guyu HU
2017 IEICE transactions on information and systems  
In multi-view social networks field, a flexible Nonnegative Matrix Factorization (NMF) based framework is proposed which integrates multi-view relation data and feature data for community discovery.  ...  Benefit with a relaxed pairwise regularization and a novel orthogonal regularization, it outperforms the-state-of-art algorithms on five real-world datasets in terms of accuracy and NMI.  ...  Conclusions Community discovery in social networks with multi-type multi-view data is more difficult than that for single-view data.  ... 
doi:10.1587/transinf.2017edp7004 fatcat:3kctzlcjrzazbl4gxswzemztba

Data Science Methods for Declarative Process Mining

Nico Grohmann, Gottfried Vossen
2021 Entwicklungsmethoden für Informationssysteme und deren Anwendung: Fachtagung  
This research proposal focuses on the discovery step for declarative processes and suggests to supplement or enrich it with commonly known techniques from data science.  ...  The assumption is that data science methods like association rule mining or sequential pattern mining can also discover certain types of declarative constraints and additionally generate activation, time  ...  Unary constraints are applied to a single activity of the process. Binary constraints define the relationships between the activities. A user can specify attributes for each of the activities.  ... 
dblp:conf/emisa/GrohmannV21 fatcat:borlki22uvf2zm23fnuceefv7q

The Effects of Relative Importance of User Constraints in Cloud of Things Resource Discovery: A Case Study [article]

Luiz H. Nunes, Julio C. Estrella, Alexandre C. B. Delbem, Charith Perera, Stephan Reiff-Marganiec
2016 arXiv   pre-print
Most of the existent work uses some kind of multi-criteria decision analysis algorithm to perform the resource discovery, but do not evaluate the impact that the user constraints has in the final solution  ...  In this paper, we analyse the behaviour of the SAW, TOPSIS and VIKOR multi-objective decision analyses algorithms and the impact of user constraints on them.  ...  The search is based on keywords and in the QoS attributes desired by the users. The DQS-Cloud aims to minimize the communication overhead reusing data flows with similar QoS levels.  ... 
arXiv:1611.05170v1 fatcat:owytvrzymzetjpijzsu7xphtc4

Mining and Filtering Multi-level Spatial Association Rules with ARES [chapter]

Annalisa Appice, Margherita Berardi, Michelangelo Ceci, Donato Malerba
2005 Lecture Notes in Computer Science  
In spatial data mining, a common task is the discovery of spatial association rules from spatial databases.  ...  It supports spatial database coupling and discovery of multi-level spatial association rules as a means for spatial data exploration.  ...  The work presented in this paper is partial fulfillment of the research objective set by the ATENEO-2004 project on "Metodi di Data Mining Multi-relazionale per la scoperta di conoscenza in basi di dati  ... 
doi:10.1007/11425274_36 fatcat:5xlgkitshfb6xgfl5yejvdfrue

A Methodological View on Knowledge-Intensive Subgroup Discovery [chapter]

Martin Atzmueller, Frank Puppe
2006 Lecture Notes in Computer Science  
, and describe their application in the subgroup discovery setting.  ...  In this paper we present a methodological view on knowledge-intensive subgroup discovery: We introduce different classes and specific types of useful background knowledge, discuss their benefit and costs  ...  The original data set is not changed by the knowledge-intensive approach; instead, either the discovery method is 'configured' applying the knowledge, or 'virtual' attributes/attribute values are introduced  ... 
doi:10.1007/11891451_28 fatcat:6ax6yqeigvhnncgc7ecvym4qyq

Modeling semantics in composite Web service requests by utility elicitation

Qianhui Althea Liang, Jen-Yao Chung, Steven Miller
2006 Knowledge and Information Systems  
Service requests are modeled as user preferences and constraints.  ...  This paper discusses the idea of semantic service requests for composite services, and presents a multi-attribute utility theory (MAUT) based model of composite service requests.  ...  Therefore, attribute constraints can be defined as restrictions imposed on single or multiple attributes of one or more services that must be complied with.  ... 
doi:10.1007/s10115-006-0052-4 fatcat:wat2qouksndqzpdavf3whgocau

SUMMARIZED: Efficient Framework for Analyzing Multidimensional Process Traces under Edit-distance Constraint [article]

Phuong Nguyen and Vatche Ishakian and Vinod Muthusamy and Aleksander Slominski
2019 arXiv   pre-print
This relationship is typically represented as sequences, where each data item is annotated with multi-dimensional attributes. There is a need to analyze this data for operational insights.  ...  In this work, we introduce Summarized, a framework for efficient analysis on sequence-based multi-dimensional data using intuitive and user-controlled summarizations.  ...  Conclusions and Future Works In this work, we introduce Summarized, a framework to perform efficient analysis on sequence-based multi-dimensional data using intuitive and user-controlled summarizations  ... 
arXiv:1905.00983v1 fatcat:dixw656yd5gsxda5gbi5usckli
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