Filters








5,947 Hits in 6.5 sec

KDD in Marketing with Genetic Fuzzy Systems [chapter]

Jorge Casillas, Francisco J. Martínez-López
2008 Soft Computing for Knowledge Discovery and Data Mining  
The characteristics of the problem (with uncertain data and available knowledge from a marketing expert) and the multiobjective optimization we propose make genetic fuzzy systems a good tool for tackling  ...  It presents a brand new methodology to be applied in marketing (causal) modeling. Specifically, we apply it to a consumer behavior model used for the experimentation.  ...  Concluding Remarks We have faced an interesting problem of KDD in relation to marketing causal modeling and its resolution by genetic fuzzy systems.  ... 
doi:10.1007/978-0-387-69935-6_10 dblp:series/springer/CasillasM08 fatcat:ryd6myjkszcktke3f67ddcge64

A platform for collaborative and distributed KDD process design

Claudia Diamantini, Domenico Potena, Emanuele Storti
2012 2012 International Conference on Collaboration Technologies and Systems (CTS)  
Knowledge Discovery in Databases (KDD) is a complex and computationally intensive process aimed at extracting knowledge from large amounts of data.  ...  To provide effective support to users, especially non-experts, in this work we propose a knowledge-centric platform specifically aimed at supporting collaborative design of KDD processes in distributed  ...  Various systems have been proposed for KDD processes design and management (refer to [1] for a survey).  ... 
doi:10.1109/cts.2012.6261118 dblp:conf/cts/DiamantiniPS12a fatcat:zajgr73jqbd7blin3st3xfvfeu

KDD Cup 2001 report

Jie Cheng, Christos Hatzis, Hisashi Hayashi, Mark-A. Krogel, Shinichi Morishita, David Page, Jun Sese
2002 SIGKDD Explorations  
This paper presents results and lessons from KDD Cup 2001. KDD Cup 2001 focused on mining biological databases. It involved three cutting-edge tasks related to drug design and genomics.  ...  Due to this system, we were able to win the Cup for task 2, which forms the focus of this section.  ...  Note that this latter point seems related to "concept drift" but is different. The concept does not change, e.g., there is no change in what makes a molecule bind to thrombin.  ... 
doi:10.1145/507515.507523 fatcat:cmiwr7oyhrbq3em2un5ebicz5m

Visualization in Data Science VDS @ KDD 2022

Claudia Plant, Nina C. Hubig, Junming Shao, Alvitta Ottley, Liang Gou, Torsten Möller, Adam Perer, Alexander Lex, Anamaria Crisan
2022 Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining  
Data science is the practice of deriving insight from data, enabled by modeling, computational methods, interactive visual analysis, and domain-driven problem solving.  ...  Machine learning and data mining Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed  ...  The workshop website is available at: http://www.visualdatascience.org/2022/ CCS CONCEPTS Data science is the practice of deriving insight from data, enabled by modeling, computational methods, interactive  ... 
doi:10.1145/3534678.3542903 fatcat:mdcgkp3dz5f7thdf2zpb4ai2ry

Rough Sets and Rough Logic: A KDD Perspective [chapter]

Zdzisław Pawlak, Lech Polkowski, Andrzej Skowron
2000 Studies in Fuzziness and Soft Computing  
In this Chapter we examine rough set contributions to Knowledge Discovery from the perspective of KDD as a whole.  ...  For many applications, in particular for KDD problems, it is necessary to search for relevant approximation spaces in the large space of parameterized approximation spaces.  ...  From the point of view of KDD, it is important to consider two notions related to formulas, namely inclusion and closeness.  ... 
doi:10.1007/978-3-7908-1840-6_13 fatcat:vy35ujzaszcwvevywvjcms4wzy

Handling KDD process changes by incremental replanning [chapter]

Ning Zhong, Chunnian Liu, Yoshitsugu Kakemoto, Setsuo Ohsuga
1998 Lecture Notes in Computer Science  
With the issue being properly handled, the GLS system is more complete in KDD process modeling, and more flexible and robust for practical use.  ...  one deeper issue concerning KDD process planning: change management, and giving our solution for it.  ...  With the issues being properly handled, the GLS system is more complete in KDD process modeling, and more flexible and robust for practical use.  ... 
doi:10.1007/bfb0094811 fatcat:qn4jkofqz5gh7bfjmupsxorsxu

Performance Appraisal Of KDD Technique In Shopping Complex Dataset

Dr. K. Kavitha
2016 International Journal Of Engineering And Computer Science  
KDD field is concerned with the development of methods and techniques for making raw data into useful information. Real world practical application issues are also outlined.  ...  To find out the solution of this automatic research application to improve the business strategy is undertaken. This paper highlights the concepts, review the status and limitations.  ...  Some of the stores are using bar code reader system to recognize the products. In this case, the point of sale bar code details is collected.  ... 
doi:10.18535/ijecs/v5i4.20 fatcat:zoy7skxuvbgwpgwyiisj5bw3oi

Case Based Reasoning for Knowledge Management in KDD Projects

Kai Bartlmae, Michael Riemenschneider
2000 Practical Aspects of Knowledge Management  
in Knowledge Discovery in Databases (KDD).  ...  In this paper we introduce our departments organizational and technical infrastructure for knowledge-intensive and weak-structured processes: A framework for Knowledge Management in the case of projects  ...  At DaimlerChrysler, KDD is applied from different KDDteams in projects from Credit-Scoring to Customer Relationship Management.  ... 
dblp:conf/pakm/BartlmaeR00 fatcat:3clfi3lpkfhgpnx6red6ln34le

Semantically-supported team building in a KDD virtual environment

Claudia Diamantini, Domenico Potena, Emanuele Storti
2012 2012 International Conference on Collaboration Technologies and Systems (CTS)  
TeamOnto is part of a wide, modular and integrated Knowledge Base about KDD projects, of which we briefly illustrate some modules, showing their use to support team building in the KDD domain.  ...  In this paper we start filling this gap by presenting TeamOnto, an ontology for the representation of project teams.  ...  We plan to investigate this extension in future work and to compare the resulting methodology with similar approaches in the Literature.  ... 
doi:10.1109/cts.2012.6261026 dblp:conf/cts/DiamantiniPS12 fatcat:ns4g4n3mnjfjvf7gprzja3xlnq

A Conceptual-KDD Approach and its Application to Cultural Heritage

Renzo Stanley, Hernán Astudillo, Víctor Codocedo, Amedeo Napoli
2013 International Conference on Concept Lattices and their Applications  
Finally, we present a straightforward method to convert the redesigned data schema into an ontological model which can be used for integration and publication purposes.  ...  However, this has proven to be a difficult task.  ...  Fig. 1 : FCA-based KDD process for CNCA Figure 1 presents a 3-step CKDD process designed to take a database schema and convert it into a knowledge base.  ... 
dblp:conf/cla/StanleyACN13 fatcat:5cuxybbqp5cs7nfmxmjod7yau4

KDD Support Services Based on Data Semantics [chapter]

Claudia Diamantini, Domenico Potena, Maurizio Panti
2005 Lecture Notes in Computer Science  
In this paper, we present an approach to the characterization of semantic domain information for a particular kind of KDD process: classification.  ...  In order to successfully achieve such a complex goal, many kinds of semantic information about the KDD and business domains is necessary.  ...  His vision of semantics in the KDD field deeply inspired and guided our research.  ... 
doi:10.1007/11603412_9 fatcat:e57bkak2cjet3oqub6oeerg2wm

Collaborative management of a repository of KDD processes

Claudia Diamantini, Domenico Potena, Emanuele Storti
2014 International Journal of Metadata, Semantics and Ontologies  
for collaborative KDD design.  ...  In this paper we present a user-and knowledge-centric approach to support the design of KDD projects.  ...  -Usability: the system should provide KDD-specific support to users with different skills, ranging from KDD experts to novice users and domain experts.  ... 
doi:10.1504/ijmso.2014.065428 fatcat:kzrsyv7ghbg5bpf5jq6hfxf3za

THE EVOLUTION OF KDD: TOWARDS DOMAIN-DRIVEN DATA MINING

LONGBING CAO, CHENGQI ZHANG
2007 International journal of pattern recognition and artificial intelligence  
As a result, very often knowledge discovered is not generally interesting to business needs. However, real-world applications expect knowledge for taking effective actions.  ...  To this end, this paper proposes domaindriven data mining methodology, which involves domain intelligence into mining actionable knowledge in constrained environment for satisfying user needs.  ...  We are grateful to the support and business knowledge from related organizations, for instance, Mr Rick Schurmann from Centrelink, and Prof. Mike Aikten from CMCRC.  ... 
doi:10.1142/s0218001407005612 fatcat:6ln5hcaxefaftp44kjdywbpjy4

KDD-SC: Subspace Clustering Extensions for Knowledge Discovery Frameworks [article]

Stephan Günnemann, Hardy Kremer, Matthias Hannen, Thomas Seidl
2014 arXiv   pre-print
They analyze arbitrary subspace projections of the data to detect clustering structures. In this paper, we present our subspace clustering extension for KDD frameworks, termed KDD-SC.  ...  Our extension is realized by a common codebase and easy-to-use plugins for three of the most popular KDD frameworks, namely KNIME, RapidMiner, and WEKA.  ...  We thank Emmanuel Müller, Ira Assent, and Timm Jansen for their excellent work on the OpenSubspace project, which is a foundation of CoreSC and WekaSC.  ... 
arXiv:1407.3850v1 fatcat:xden6zb7zzfibcxxgx22uiuyd4

Intrusion Detection System on KDD'99 Dataset with Imbalanced Classes

Anupam Agrawal, Department of Computer Science, Maulana Azad National Institute of Technology (MANIT), Bhopal (M.P) India.
2021 International Journal of Engineering and Advanced Technology  
For Preprocessing of dataset One Hot Encoding and Label Encoding to make it machine readable.  ...  The experiments have been conducted over KDD'99 cup dataset, which is an imbalanced dataset, cause of which recall of some classes coming drastically low as there were not enough instances of it in there  ...  Intrusion Detection System on KDD'99 Dataset with Imbalanced Classes Anupam Agrawal B.  ... 
doi:10.35940/ijeat.b3238.1211221 fatcat:c65spdsa35aidhfk6v2b3sisja
« Previous Showing results 1 — 15 out of 5,947 results