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Data Mining and Knowledge Discovery [chapter]

Krzysztof J. Cios, Witold Pedrycz, Roman W. Swiniarski
1998 Data Mining Methods for Knowledge Discovery  
In this paper, a review study is done on existing data mining and knowledge discovery techniques, applications and process models that are applicable to healthcare environments.  ...  Knowledge Discovery in Databases (KDD) can help organizations turn their data into information.  ...  A proper medical database created with intention mining can provide a useful resource for data mining and knowledge discovery [1] .  ... 
doi:10.1007/978-1-4615-5589-6_1 fatcat:p2oyvrwv6rdxlam7jtunbsz56q

Data Mining and Knowledge Discovery [chapter]

Chao Zhang, Jiawei Han
2021 The Urban Book Series  
We study the empirical performance of these methods and demonstrate how data-mining techniques can be successfully applied to social-sensing data to extract actionable knowledge and facilitate downstream  ...  In this chapter, we present recent developments in data-mining techniques for urban activity modeling, a fundamental task for extracting useful urban knowledge from social-sensing data.  ...  Data Mining for Urban Analysis Generally, data-mining techniques for urban analysis tasks can be categorized into four classes: (1) urban pattern discovery; (2) urban activity modeling; (3) urban mobility  ... 
doi:10.1007/978-981-15-8983-6_42 fatcat:gxnx3jgu4fcqvbieg3ltmdovk4

Knowledge Discovery and Data Mining

Siddharth Nandakumar Chikalkar
2020 International Journal for Research in Applied Science and Engineering Technology  
knowledge discovery in databases (KDD) plays an important role in large organisation where data is store in large help with exploring and understanding very large data set and building predictive  ...  This is the task-oriented process it been to identifying valid useful and understandable pattern from large and complex data set .data mining is the core of KDD process in KDD process interring the algorithm  ...  means knowledge discovery in database.  ... 
doi:10.22214/ijraset.2020.32045 fatcat:2tj5wei5vfantdzjr3jwog4uhi

Biological Knowledge Discovery and Data Mining

Mohammad Al Hasan, Jun Huan, Jake Chen, Mohammed J. Zaki
2012 Scientific Programming  
discovery and data mining (KDD) processes are playing increasingly important roles.  ...  The ongoing influx of these data, the inherent uncertainties in data collection processes, and the gap between data collection and knowledge curation have created exciting opportunities for data mining  ... 
doi:10.1155/2012/252681 fatcat:qmbadw7brfdjjigtrakhebhz74

Big Data Mining and Knowledge Discovery

Tomas Ruzgas, Kristina Jakubėlienė, Aistė Buivytė
2016 Journal of Communications Technology Electronics and Computer Science  
The article dealt with exploration methods and tools for big data. It identifies the challenges encountered in the analysis of big data.  ...  Defined notion of big data. describe the technology for big data analysis. Article provides an overview of tools which are designed for big data analytics.  ...  THE DATA MINING IN ERA OF BIG DATA Big data mean those data sets, which become quite difficult or impossible to hadle by using simple data-processing programs and tools because of their size and complex  ... 
doi:10.22385/jctecs.v9i0.134 fatcat:5tpz6gfqsbgbbi3t23np75ubwy

Statistical Data Mining and Knowledge Discovery

2004 Technometrics  
The use of automated indexing and text mining can revolutionize the manner and speed of information assessment and organization.  ...  All punctuation and capitalization is ignored. In addition, articles and other common, non-distinguishing words are discarded.  ... 
doi:10.1198/tech.2004.s762 fatcat:vpwc3p3ru5f6vnd5vw2zhhjefy

Geographic Data Mining and Knowledge Discovery An Overview [chapter]

Jiawei Han, Harvey Miller
2009 Geographic Data Mining and Knowledge Discovery, Second Edition  
KNOWLEDGE DISCOVERY AND DATA MINING In this section of the chapter, we provide a general overview of knowledge discovery and data mining.  ...  In this chapter, we provide an overview of knowledge discovery from databases (KDD) and data mining.  ...  Acknowledgments: Thanks to Mark Gahegan and Phoebe McNeally for some helpful comments on this chapter.  ... 
doi:10.1201/9781420073980.ch1 fatcat:bfh4kasvlbhylgwu2afp5wrqbq

Data mining and knowledge discovery in databases

Usama Fayyad, Ramasamy Uthurusamy
1996 Communications of the ACM  
Data Mining to etap procesu odkrywania wiedzy w bazach danych (Knowledge Discovery Process in Databases, KDD Process), w którym analizuje siê dane i dostarcza wzorce i modele z tych danych 1 .  ...  Pojêcie Data Mining nie jest obce statystykom.  ...  Friedman, op.cit. 31 Introduction to Data Mining and Knowledge Discovery -2 nd edition, The Two Crows Corporation 1998, tekst pobrano ze strony Rys. 1.  ... 
doi:10.1145/240455.240463 fatcat:axaz4jiytrgybp434jpyrredtm

Advances in knowledge discovery and data mining

1996 Computers and Mathematics with Applications  
General implications and applications.  ...  Creative visualization. fixation, and incubation. References. Index. Introduction to creative cognition. 2. Theoretical and methodological considerations. 4. Creative invention. 5.  ...  From data mining to knowledge discovery: An overview (Usama M. Fayyad, Gregory Piatetsky-Shapiro and Padhraic Smyth). 1. Foundations. 2.  ... 
doi:10.1016/s0898-1221(96)90007-3 fatcat:kmpq3mv5evc75f2ifvbwdn5jjq

A Data Mining & Knowledge Discovery Process Model [chapter]

scar Marbn, Gonzalo Mariscal, Javier Segovi
2009 Data Mining and Knowledge Discovery in Real Life Applications  
Data Mining & Knowledge Discovery Process Model  ...  Introduction The number of applied in the data mining and knowledge discovery (DM & KD) projects has increased enormously over the past few years (Jaffarian et al., 2008) (, 2007c) .  ...  applications of data mining in different promising areas like Industrialist, Biological, and Social.  ... 
doi:10.5772/6438 fatcat:7bvdr6n4gfabpnlnb5g2ud43be

Toward knowledge-rich data mining

Pedro Domingos
2007 Data mining and knowledge discovery  
This position paper proposes knowledge-rich data mining as a focus of research, and describes initial steps in pursuing it.  ...  In sum, data mining as practiced today is mostly knowledge-poor; current tools do not facilitate the incorporation and reuse of knowledge, and this is perhaps the single greatest barrier to progress.  ...  Because of the knowledge it can draw on, a data mining system will be able to discover deeper patterns, and directly connect them to the actions that should result.  ... 
doi:10.1007/s10618-007-0069-7 fatcat:viajhww3lvbexpdnvmvlkowg4e


I Chhabra
On the flip side of the coin, the development of intellectual and evolutionary data mining tool for retail industries through the machine learning algorithm has always been proved to adequately respond  ...  Customer behavior analysis and its knowledge have always been given its due importance in research community to develop real life practical solutions.  ...  Association ISSN (Online) : 2454 -7190 ISSN (Print) 0973-8975 rule mining is an active research area with numerous algorithms used for knowledge discovery.  ... 
doi:10.26782/jmcms.2019.04.00014 fatcat:5yffofrsozelnle4ksdf5e6rfm

Multimedia Data Mining [chapter]

Zhongfei (Mark) Zhang, Ruofei Zhang
2009 Data Mining and Knowledge Discovery Handbook  
interaction, machine learning, statistical modeling, data mining, pattern analysis, data fusion, social sciences, and domain knowledge for applications Motivations (3) 8 I.  ...  Faloutsos, and P. Duygulu. Automatic Multimedia Cross-modal Correlation Discovery. KDDM'04, 2004 [RHO+98] Y. Rui, T.S. Huang, M. Ortega, and S.  ... 
doi:10.1007/978-0-387-09823-4_57 fatcat:cnrw7f656rcmvjlbdw3yg453xy

Mining High-Dimensional Data [chapter]

Wei Wang, Jiong Yang
2009 Data Mining and Knowledge Discovery Handbook  
In this chapter, we present several state-of-art techniques for analyzing highdimensional data, e.g., frequent pattern mining, clustering, and classification.  ...  Thus, mining highdimensional data is an urgent problem of great practical importance.  ...  Researchers and practitioners are very eager in analyzing these data sets. Various data mining models have been proven to be very successful for analyzing very large data sets.  ... 
doi:10.1007/978-0-387-09823-4_41 fatcat:lujokq34q5d6tde53kmlhj2c7u

Data Stream Mining [chapter]

Mohamed Medhat Gaber, Arkady Zaslavsky, Shonali Krishnaswamy
2009 Data Mining and Knowledge Discovery Handbook  
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams.  ...  MOA is related to WEKA, the Waikato Environment for Knowledge Analysis, which is an award-winning open-source workbench containing implementations of a wide range of batch machine learning methods.  ...  data mining.  ... 
doi:10.1007/978-0-387-09823-4_39 fatcat:3n27k753zzhidbkjynx7iwmt7e
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