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The MiningMart Approach to Knowledge Discovery in Databases [chapter]

Katharina Morik, Martin Scholz
2004 Intelligent Technologies for Information Analysis  
The MiningMart system presented in this chapter focuses on setting up and re-using best practice cases of preprocessing data stored in very large databases.  ...  The results are not properly documented and hardly re-usable.  ...  Metadata driven code generation: The MiningMart approach relies on metadriven software generation.  ... 
doi:10.1007/978-3-662-07952-2_3 fatcat:lhdss6zxo5axfekmttsmc4boca

Meta-Learning Architectures: Collecting, Organizing and Exploiting Meta-Knowledge [chapter]

Joaquin Vanschoren
2011 Studies in Computational Intelligence  
To mimic this approach, a knowledge base is populated by previously successful workflows, annotated with meta-data.  ...  It is the logical extension of metalearning to the KD process.  ...  Next, while both approaches describe their operators with pre-and postconditions, MiningMart only uses this information to guide the user, not for automatic planning.  ... 
doi:10.1007/978-3-642-20980-2_4 fatcat:h7qh6p2cbfdophxgurm6tbio3e

The Representation Race — Preprocessing for Handling Time Phenomena [chapter]

Katharina Morik
2000 Lecture Notes in Computer Science  
Designing the representation languages for the input,LE, and output, LH , of a learning algorithm is the hardest task within machine learning applications.  ...  In this paper, a set of learning tasks dealing with time is given together with the input required by learning methods which solve the tasks.  ...  Acknowledgements This work has been partially funded by the European Commission, IST-11993 (MiningMart).  ... 
doi:10.1007/3-540-45164-1_2 fatcat:mdupmi6gsngdpk7u6tuuvxjetu

Towards realistic file-system benchmarks with CodeMRI

Nitin Agrawal, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau
2008 Performance Evaluation Review  
In spite of tremendous advances in file system design, the approaches for benchmarking them still lag far behind.  ...  The work resulted in the first successful MiningMart case and is part of a downloadable case-base. • Summer Intern, Tata Consultancy Services (TCS), India, June-July 2001: The project was based in Java  ...  the request but is also aware of the in-cache position of the blocks (Master's Thesis). • Technology Development Plan for Neuropeptides: Proposed a technology development plan for use of Neuropeptides  ... 
doi:10.1145/1453175.1453184 fatcat:x37komlygzhnhmenxvmpc76fnm

Goal driven approach to model interaction between viewpoints of a multi-view KDD process

EL Moukhtar Zemmouri, Hicham Behja, Brahim Ouhbi, Brigitte Trousse, Abdelaziz Marzak, Youssef Benghabrit
2012 2012 Next Generation Networks and Services (NGNS)  
After a brief review of our approach of viewpoint in KDD, we will first develop a Goal Model that allows identification and representation of business objectives during the business understanding step  ...  In MiningMart project [12] a case-based reasoning (CBR) system to support end users during data preprocessing is proposed.  ...  In the reminder of this introductory section we briefly recall our approach of viewpoint in KDD to fix definitions and context of our work. This approach was initiated by Behja et al.  ... 
doi:10.1109/ngns.2012.6656066 fatcat:c6dzpbbre5c4jdnv6qjlmayjqu

Ontology-Based Knowledge Model for Multi-View KDD Process

EL Moukhtar Zemmouri, Hicham Behja, Abdelaziz Marzak, Brigitte Trousse
2012 International Journal on Mobile Computing and Multimedia Communications  
Our objective is to enhance both the reusability of the process and coordination between users.  ...  In this paper we propose to support users of a multi-view analysis (a KDD process held by several experts who analyze the same data with different viewpoints).  ...  In MiningMart project (Morik et al., 2004) a case-based reasoning (CBR) system to support end users during data preprocessing is proposed.  ... 
doi:10.4018/jmcmc.2012070102 fatcat:i7o7xosibfby7k5feown3t7omu

A survey of intelligent assistants for data analysis

Floarea Serban, Joaquin Vanschoren, Jörg-Uwe Kietz, Abraham Bernstein
2013 ACM Computing Surveys  
Furthermore, it provides an overview of the systems developed over the past years, identifies their most important features, and sketches an "ideal" future IDA as well as the challenges on the road ahead  ...  non-trivial refinement processes, which require technical expertise about methods and algorithms, experience with how a precise analysis should proceed, and knowledge about an exploding number of analytic approaches  ...  To run the workflow, MiningMart translates all steps into SQL queries and operator calls, and stores the preprocessed data in the database itself.  ... 
doi:10.1145/2480741.2480748 fatcat:eqp6aoh23rbibdnjnc5k6qu3p4

Benchmarking Business Analytics Techniques in Big Data

Catia Oliveira, Tiago Guimarães, Filipe Portela, Manuel Santos
2019 Procedia Computer Science  
Technological developments and the growing dependence of organizations and society in the world of the internet led to the growth and variety of data.  ...  Abstract Technological developments and the growing dependence of organizations and society in the world of the internet led to the growth and variety of data.  ...  Acknowledges This work has been supported by national funds through FCT -Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2019and Deus ex Machina (DEM): Symbiotic technology  ... 
doi:10.1016/j.procs.2019.11.026 fatcat:oimylp7u5rbqzkajantom3ikxq


Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Martin Scholz, Timm Euler
2006 Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '06  
Rapid prototyping is an approach which allows crucial design decisions as early as possible.  ...  Following the paradigm of visual programming eases the design of processing schemes.  ...  MiningMart provides operators that ease the integration with Yale.  ... 
doi:10.1145/1150402.1150531 dblp:conf/kdd/MierswaWKSE06 fatcat:6oz263ifqjdrdbse6dtixb7kza

Remote Collaborative Data Mining through Online Knowledge Sharing [chapter]

Alípio Jorge, Steve Moyle, Angi Voß
2002 IFIP Advances in Information and Communication Technology  
The aim is to allow the execution of data mining projects, with the paTticipation of multiple experts working from distant locations.  ...  AU the participants in such a project can profit from the knowledge produced by others and share their knowledge online with the other participants.  ...  The first author also thanks the Portuguese Programa de Financiamento Plurianual de Unidades de I&D (FCT). The authors are grateful for the help of Gemot Richter in the preparation of this paper.  ... 
doi:10.1007/978-0-387-35585-6_53 fatcat:h276p4dyynaedfu32zjsh2rbre

MAROR: Multi-Level Abstraction of Association Rule Using Ontology and Rule Schema

Salim Khiat, Hafida Belbachir, Sid Ahmed Rahal
2014 International Journal of Information Technology and Computer Science  
and presents preliminary results in petroleum field to demonstrate the feasibility and applicability of this proposed approach.  ...  Using domain ontologies, we strengthen the integration of user knowledge in the mining and post-processing task.  ...  With the MiningMart meta model M4 it is possible to set up operational sequences of preprocessing steps, making use of the conceptual descriptions of the data, only.  ... 
doi:10.5815/ijitcs.2014.12.04 fatcat:lgymmmv5xzc63eszz7uiqr3ib4

KEEL: a software tool to assess evolutionary algorithms for data mining problems

J. Alcalá-Fdez, L. Sánchez, S. García, M. J. del Jesus, S. Ventura, J. M. Garrell, J. Otero, C. Romero, J. Bacardit, V. M. Rivas, J. C. Fernández, F. Herrera
2008 Soft Computing - A Fusion of Foundations, Methodologies and Applications  
It includes evolutionary learning algorithms based on different approaches: Pittsburgh, Michigan and IRL, as well as the integration of evolutionary learning techniques with different pre-processing techniques  ...  classical learning approaches.  ...  Third, due to the use of a strict object-oriented approach for the library and software tool, these can be used on any machine with Java.  ... 
doi:10.1007/s00500-008-0323-y fatcat:kqrzla653fdblfe527hwec44ci

Automating Knowledge Discovery Workflow Composition Through Ontology-Based Planning

Monika Zakova, Petr Kremen, Filip Zelezny, Nada Lavrac
2011 IEEE Transactions on Automation Science and Engineering  
The second directly queries the ontology using a reasoner. The proposed approach was tested in two use cases, one from genomics and another from product engineering.  ...  The second directly queries the ontology using a reasoner. The proposed approach was tested in two use cases, one from scientific discovery in genomics and another from advanced engineering.  ...  MiningMart focuses on guiding the user to choose the appropriate preprocessing steps in propositional data mining.  ... 
doi:10.1109/tase.2010.2070838 fatcat:rxfbnxy4d5aurgknuslsjj32ja

Analysing Customer Churn in Insurance Data – A Case Study [chapter]

Katharina Morik, Hanna Köpcke
2004 Lecture Notes in Computer Science  
The search for an appropriate approach is difficult. In particular, if time data are involved, there exist a large variety of how to handle them.  ...  The success is determined to a great extent by an adequate example representation. The transformation of given data to the example representation is a matter of feature generation and selection.  ...  Acknowledgment We thank Jörg-Uwe Kietz and Regina Zücker for their information about the insurance practice and the anonymised database.  ... 
doi:10.1007/978-3-540-30116-5_31 fatcat:jywtkthewreono3azwkl73wid4

Ontology-Based Meta-Mining of Knowledge Discovery Workflows [chapter]

Melanie Hilario, Phong Nguyen, Huyen Do, Adam Woznica, Alexandros Kalousis
2011 Studies in Computational Intelligence  
In Section 2, we review the state of the art in the fields of meta-learning and data mining ontologies; at the same time, we motivate the need for ontology-based meta-mining and distinguish our approach  ...  First, whereas most previous work on meta-learning focused exclusively on the learning task, our approach applies meta-learning to the full knowledge discovery process and is thus more aptly referred to  ...  Acknowledgements This work is partially supported by the European Commission through  ... 
doi:10.1007/978-3-642-20980-2_9 fatcat:lhhpaisl5jhwjkqc5xdtpwskci
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