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Discovering Hierarchical Consolidated Models from Process Families [chapter]

Nour Assy, Boudewijn F. van Dongen, Wil M. P. van der Aalst
2017 Lecture Notes in Computer Science  
Conclusion In this paper, we presented an approach for mining hierarchical consolidated models from process families.  ...  To remedy this problem, we propose an approach to discover hierarchical consolidated process models from collections of event logs.  ... 
doi:10.1007/978-3-319-59536-8_20 fatcat:2virbfjm6beyxnxlaqvjuj2tfy

Genetic Algorithm Based Data-Aware Group Scheduling for Big Data Clouds

Raghavendra Kune, Pramod Kumar Konugurthi, Arun Agarwal, Raghavendra Rao Chillarige, Rajkumar Buyya
2014 2014 IEEE/ACM International Symposium on Big Data Computing  
MapReduce scheduling models for Big Data computing operate in the cluster mode, where the data nodes are pre-configured with the computing facility for processing.  ...  These MapReduce models are based on compute push model-pushing the logic to the data node for analysis, which is primarily for minimizing or eliminating data migration overheads between computing resources  ...  Rajeev Wankar from University of Hyderabad, India for providing the valuable guidance. We express thanks to Dr. Sudheer Reddy of ADRIN for discussion on GA. We thank Smt.  ... 
doi:10.1109/bdc.2014.15 dblp:conf/bdc/KuneKARB14 fatcat:62eupw5ntzf2tncg7aj56vwgju

A non-parametric Bayesian clustering for gene expression data

Liming Wang, Xiaodong Wang
2012 2012 IEEE Statistical Signal Processing Workshop (SSP)  
In this paper, we propose a non-parametric Bayesian clustering algorithm based on the hierarchical Dirichlet processes (HDP).  ...  The proposed clustering algorithm captures the hierarchical features prevalent in biological data such as the gene express data by introducing a hierarchical structure in the model.  ...  distribution family.  ... 
doi:10.1109/ssp.2012.6319758 dblp:conf/ssp/WangW12 fatcat:xdsh3zbjh5emdhqirqdb4doq2a

Modelling families of business process variants: A decomposition driven method

Fredrik Milani, Marlon Dumas, Naved Ahmed, Raimundas Matulevičius
2016 Information Systems  
We have applied the method to two case studies: one concerning the consolidation of ex-isting process models, and another dealing with green-field process discovery.  ...  This paper introduces a method for modelling families of process variants that addresses this trade-off.  ...  RQ 2: How can a family of process variants be discovered in a manner that results in the usage of fewer activities and sub-process models?  ... 
doi:10.1016/j.is.2015.09.003 fatcat:epskn7cmjbhlncwxoiznlqwjce

A classification scheme for production system processes

Daniel G.H. Sorensen, Thomas Ditlev Brunoe, Kjeld Nielsen
2018 Procedia CIRP  
Reviewing a number of existing classifications and taxonomies, a consolidated classification scheme for processes in production of discrete products has been outlined.  ...  Reviewing a number of existing classifications and taxonomies, a consolidated classification scheme for processes in production of discrete products has been outlined.  ...  * OR vocabulary) • handling AND (taxonomy OR ontology OR classif* OR vocabulary) The consolidation process focused on determining how well a discovered classification fit a set of criteria for the consolidated  ... 
doi:10.1016/j.procir.2018.03.021 fatcat:nskqwy5qfrgavjaumwl6iwyjma

Data Base Technology

W. C. McGee
1981 IBM Journal of Research and Development  
Permission to republish other excerpts should be obtained from the Editor. IBM  ...  the hierarchic, the network, the relational, and the semantic families.  ...  The commercial data processing world at the time was in the throes of "integrated data processing," and quickly appropriated "data base" to denote the data collection which results from consolidating the  ... 
doi:10.1147/rd.255.0505 fatcat:2ttderdtjnguni5z4hcfypqiye

A Feature Selection and Evaluation Scheme for Computer Virus Detection

Olivier Henchiri, Nathalie Japkowicz
2006 IEEE International Conference on Data Mining. Proceedings  
This process has been tackled from two different angles: extracting optimal signatures from a dataset of viruses, and discovering more general features for use in a complex classification scheme.  ...  Figure 1 : 1 Hierarchical feature selection process.  ... 
doi:10.1109/icdm.2006.4 dblp:conf/icdm/HenchiriJ06 fatcat:pnoofdmngre65i6coejv5a5fva

Deriving initial data warehouse structures from the conceptual data models of the underlying operational information systems

Michael Boehnlein, Achim Ulbrich-vom Ende
1999 Proceedings of the 2nd ACM international workshop on Data warehousing and OLAP - DOLAP '99  
In case of operational systems the data models are created from application specific requirements. The data models in data warehouses base on the analytical requirements of the users.  ...  To illustrate the usefulness of this approach we explain the derivation of the warehouse structures from the conceptual data model of a flight reservation system.  ...  An important indication for appropriate candidates for dimensions from specific data object types of a conceptual model is the recurrent economic standard dimensions with the according consolidation paths  ... 
doi:10.1145/319757.319780 dblp:conf/dolap/BoehnleinE99 fatcat:vtizp66zxzeuja2pzqgnxwak3q

Hierarchical Clustering for Dynamic and Heterogeneous Internet of Things

J. Sathish Kumar, Mukesh A. Zaveri
2016 Procedia Computer Science  
In this context, we propose a Hierarchical Clustering algorithm for Dynamic and Heterogeneous Internet of Things. The proposed clustering algorithm is evaluated on actual IoT platform.  ...  The main job of Supernode is to collect the information from CH and capable of doing real time processing which may later sent to cloud for further detailed processing.  ...  Hence, IoT is a global network of discovering and identification of objects that are interconnected and enabling the semantic data processing via content, connectivity, computing, context, cognition, collaboration  ... 
doi:10.1016/j.procs.2016.07.211 fatcat:wkxde3mpqfazvfglvjqx6gn6fi

Hierarchical Dirichlet process model for gene expression clustering

Liming Wang, Xiaodong Wang
2013 EURASIP Journal on Bioinformatics and Systems Biology  
The HDP clustering introduces a hierarchical structure in the statistical model which captures the hierarchical features prevalent in biological data such as the gene express data.  ...  In this article, we propose a clustering algorithm based on the hierarchical Dirichlet processes (HDP).  ...  distribution family.  ... 
doi:10.1186/1687-4153-2013-5 pmid:23587447 pmcid:PMC3656798 fatcat:lk5uuikrpbd35cgsxxctqrwcmy

GoMapMan: integration, consolidation and visualization of plant gene annotations within the MapMan ontology

Živa Ramšak, Špela Baebler, Ana Rotter, Matej Korbar, Igor Mozetič, Björn Usadel, Kristina Gruden
2013 Nucleic Acids Research  
Currently, genes of the model species Arabidopsis and three crop species (potato, tomato and rice) are included.  ...  GoMapMan is based on the MapMan ontology, organized in the form of a hierarchical tree of biological concepts, which describe gene functions.  ...  In contrast to hierarchical tree structure of the MapMan ontology, Gene Ontology can be viewed as a collection of three non-overlapping ontologies, namely, molecular function, biological process and cellular  ... 
doi:10.1093/nar/gkt1056 pmid:24194592 pmcid:PMC3965006 fatcat:tfwfmnboxveyrpvuzkgwvqnpvi

Personal characteristics of effective managers in organizational cultures of different types

Lyudmila N. Zakharova, Elena V. Korobeynikova
2015 Psychology in Russia: State of Art  
Currently, Russia is in the process of transitioning from the administrativecommand model to the market and innovative model of economic development.  ...  In addition, the model of the hierarchic-clan OC remains typical of enterprises having difficulties with modernization, and these models vary little from the socialistic model of human resource management  ... 
doi:10.11621/pir.2015.0306 fatcat:h4jgxvndtbbchfspoo4d7zwzre

O mestrado profissionalizante como modelo preferencial para capacitação em Saúde da Família

Rosita Saupe, Águeda Lenita Pereira Wendhausen
2005 Interface: Comunicação, Saúde, Educação  
practice, which alienates users, families and populations from participation in their own health and life process.  ...  Conclusion: Preferential model In the words of Delors (1998) , education is a treasure waiting to be discovered.  ... 
doi:10.1590/s1414-32832005000300016 fatcat:cwhofk4aorhzhmxb7y5h75hlwi

A Fully Automatic Deep Learning System for COVID-19 Diagnostic and Prognostic Analysis

Shuo Wang, Yunfei Zha, Weimin Li, Qingxia Wu, Xiaohu Li, Meng Niu, Meiyun Wang, Xiaoming Qiu, Hongjun Li, He Yu, Wei Gong, Yan Bai (+4 others)
2020 European Respiratory Journal  
a fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis by routinely used computed tomography.We retrospectively collected 5372 patients with computed tomography images from  ...  Afterwards, 1266 patients (924 with COVID-19, and 471 had follow-up for 5+ days; 342 with other pneumonia) from 6 cities or provinces were enrolled to train and externally validate the performance of the  ...  Acknowledgments: We thank all the collaborative hospitals for data collection, and especially thank Shuang Yan from Cancer Hospital Chinese Academy of Medical Sciences.  ... 
doi:10.1183/13993003.00775-2020 pmid:32444412 fatcat:ui4gqpmwwnhtfb4qc6wank4iaq

Developing Semantically-Enabled Families of Method-Oriented Architectures

Mohsen Asadi, Bardia Mohabbati, Dragan Gaševic, Ebrahim Bagheri, Marek Hatala
2012 International Journal of Information System Modeling and Design  
Retrieved methods can be integrated and adapted to form a coherent method by means of assembly processes.  ...  flexibility and adaptability of methods; however, there are three key research challenges which can be observed in the literature: 1) the lack of standards and tooling support for defining, publishing, discovering  ...  Alternative features indicate that only one of the features from the feature groups can be used. Once a feature model for an entire family is in place, a process of configuration follows.  ... 
doi:10.4018/jismd.2012100101 fatcat:a25we2265ze7zne2idmswbnc5u
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