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Object-Oriented Database Mining: Use of Object Oriented Concepts for Improving Data Classification Technique [chapter]

Kitsana Waiyamai, Chidchanok Songsiri, Thanawin Rakthanmanon
2004 Lecture Notes in Computer Science  
CO4.5 classifies complex objects directly through the use of inheritance and composition relationships stored in object-oriented databases.  ...  Experimental results, using large complex datasets, showed that CO4.5 yielded better accuracy compared to traditional data classification techniques.  ...  Using Object-Oriented Concepts for Complex Data Classification Complex objects in object-oriented databases are objects that have inheritance and composition relationships between them.  ... 
doi:10.1007/978-3-540-24685-5_38 fatcat:gl2oaps6bjf3xacej5e7whlpqm


O. M. Klyuchko, Kavetsky Institute of Experimental Pathology, Oncology and Radiobiology of the National Academy of Sciences of Ukraine, Kyiv
2019 Biotechnologia Acta  
An overview of applied methods, concepts and terminology from the areas of object-oriented system analysis, database designing was disclosed.  ...  The methods of object-oriented system analysis, construction of models of subject spaces (problem space, solution space), ER-diagrams, of constructing databases and others were applied.  ...  This leads to slowdown the information search, and even to impossibility of data mining in an imperfect database. Accordingly, the time of data mining in such imperfect databases increases.  ... 
doi:10.15407/biotech12.03.005 fatcat:s7rpvwcs4nbp3gqn3y52focefa

EMEN2: An Object Oriented Database and Electronic Lab Notebook

Ian Rees, Ed Langley, Wah Chiu, Steven J. Ludtke
2013 Microscopy and Microanalysis  
It is a pure object-oriented database designed for easy adoption in diverse laboratory environments, and does not require professional database administration.  ...  Object-oriented databases present an attractive alternative to traditional relational databases for situations where the experiments themselves are continually evolving.  ...  Acknowledgments We would like to thank NCMI users and collaborators for feedback to drive improvements and development of EMEN2.  ... 
doi:10.1017/s1431927612014043 pmid:23360752 pmcid:PMC3907281 fatcat:t2m6obgetfbxlfqku4o6ms6zva

A description logic approach for representing and reasoning on fuzzy object-oriented database models

Fu Zhang, Z.M. Ma, Li Yan, Yu Wang
2012 Fuzzy sets and systems (Print)  
In particular, DLs have been deeply studied in database modeling. This paper proposes a description logic approach to represent and reason on fuzzy object-oriented database (FOOD) models.  ...  The formalization in f-ALCIQ(D) of FOOD models makes it possible to improve the ability of reasoning on database models by means of the inference services offered by fuzzy DLs.  ...  Acknowledgements The authors thank the anonymous referees for their valuable comments and suggestions, which improved the technical content and the presentation of the paper.  ... 
doi:10.1016/j.fss.2011.04.010 fatcat:kk4gedq5cbbk3jeokfirvvzpqu

Mining knowledge from databases

Jiawei Han, Yizhou Sun, Xifeng Yan, Philip S. Yu
2010 Proceedings of the 2010 international conference on Management of data - SIGMOD '10  
This tutorial presents an organized picture on how to turn a database into one or a set of organized heterogeneous information networks, how information networks can be used for data cleaning, data consolidation  ...  In this tutorial, we introduce database-oriented information network analysis methods and demonstrate how information networks can be used to improve data quality and consistency, facilitate data integration  ...  This tutorial presents a comprehensive overview of the techniques developed for database-oriented information network analysis in recent years.  ... 
doi:10.1145/1807167.1807333 dblp:conf/sigmod/HanSYY10 fatcat:y3ozzuynxfb3rdtrbf3jldjkci

From Data Mining to Knowledge Mining [chapter]

Kenneth A. Kaufman, Ryszard S. Michalski
2005 Handbook of Statistics  
The effective use of background as well as previously created knowledge in reasoning about new data makes it possible for the knowledge mining system to derive useful new knowledge not only from large  ...  The second part outlines a multistrategy methodology for an emerging research direction, called knowledge mining, by which we mean the derivation of high-level concepts and descriptions from data through  ...  The findings and opinions expressed here are those of the authors, and do not necessarily reflect those of the above sponsoring organizations.  ... 
doi:10.1016/s0169-7161(04)24002-0 fatcat:romqi4ngpfd5vkxeawvb62n7pi

Aspect Mining in Procedural Object Oriented Code

M.U. Bhatti, S. Ducasse, A. Rashid
2008 2008 16th IEEE International Conference on Program Comprehension  
This is often true in data intensive applications. Aspect mining techniques search for various patterns of scattered and tangled code pertaining to crosscutting concerns.  ...  Although object-oriented programming promotes reusable and well factored entity decomposition, industrial software often shows traces of lack of object-oriented design and procedural thinking.  ...  Section 3 describes the technique used to mine crosscutting aspects and its limits in presence of procedural object-oriented code.  ... 
doi:10.1109/icpc.2008.45 dblp:conf/iwpc/BhattiDR08 fatcat:w44razopf5b5vekbnehlzbwgk4

Peculiarity oriented multidatabase mining

Ning Zhong, Yiyu Yao, M. Ohshima
2003 IEEE Transactions on Knowledge and Data Engineering  
A theoretical framework for peculiarity oriented mining is presented.  ...  Peculiarity oriented mining in multiple data sources is different from, and complementary to, existing approaches for discovering new, surprising, and interesting patterns hidden in data.  ...  This work was partially supported by the grant-in-aid for scientific research on priority area "Active Mining" from the Japanese Ministry of Education, Culture, Sports, Science, and Technology.  ... 
doi:10.1109/tkde.2003.1209011 fatcat:ptvo52ahynhxlmfw5wtqbbpc4e

A Conceptual Framework of Data Mining [chapter]

Yiyu Yao, Ning Zhong, Yan Zhao
2008 Studies in Computational Intelligence  
The layered framework is demonstrated by applying it to three sub-fields of data mining, classification, measurements, and explanation-oriented data mining.  ...  It is evident that the conceptual studies of data mining as a scientific research field, instead of a collection of isolated algorithms, are needed for a further development of the field.  ...  In [30] , we discuss the complete concept space for classification tasks using granular network concepts.  ... 
doi:10.1007/978-3-540-78488-3_29 fatcat:x3s2gu3pjja33bg7wycrwwamxy

Survey of Object Oriented Mining for XML Data

T. Sangeetha, G.Sophia Reena, T. Priya
2011 International Journal of Computer Applications  
To map XML data to our system we can use the following mapping: XML elements can be processed similarly to the objects in object-oriented data.  ...  According to the Petr Kuba, to adapt OR-FP for mining in XML data we preserve basic principles of the algorithm and modify only the input interface.  ...  Fig Fig 4.1: Classification of Data Mining Algorithms Fig Fig 6.1: Object Relational Mapping Fig Fig 6.2: Internal Object Oriented Data Structure Fig Fig 6.3 User Interface for Object Oriented Mining  ... 
doi:10.5120/2002-2699 fatcat:6dg3p2gc6rbjhixktcqa6utesm

Data Mining

Nicolas Bissantz, Jürgen Hagedorn
2008 Business & Information Systems Engineering  
Typical data mining methods, for example, are not capable of fully utilizing the potential of relational or object-oriented databases.  ...  The purpose of data mining, therefore, is to: Some literature also uses terms such as 'knowledge discovery' , 'database mining' or 'database exploration' to discuss the topic of data mining. j identify  ... 
doi:10.1007/s12599-008-0005-4 fatcat:yechlwk26rdyxct5onhxse3i5i

Multimedia Mining Research – An Overview

S Vijayarani, A Sakila
2015 International Journal of Computer Graphics & Animation  
These data are stored in multimedia databases and multimedia mining is used to find useful information from large multimedia database system by using various multimedia techniques and powerful tools.  ...  Multimedia mining architectures for structured and unstructured data, research issues in multimedia mining, data mining models used for multimedia mining and applications are also discussed in this paper  ...  Various data mining techniques are used for image classification.  ... 
doi:10.5121/ijcga.2015.5105 fatcat:wyhfj3qbubhs3dhrvdwt7bmfze

Classification of Opinion Mining Techniques

Nidhi Mishra, C. K. Jha
2012 International Journal of Computer Applications  
The concept of opinion is very broad. In this paper we focus on the Classification of opinion mining techniques that conveys user's opinion i.e. positive or negative at various levels.  ...  This opinion is not only important for a user but is also useful for an organization.  ...  For opinion orientation authors use a technique similar to the one used by Turney [27] for document level. Wilson et al.  ... 
doi:10.5120/8948-3122 fatcat:qceoalyxyvaj5aa7ibihyjvgq4

Opinion Mining: Issues and Challenges (A survey)

Bakhtawar Seerat, Farouque Azam
2012 International Journal of Computer Applications  
Opinion mining is crucial for both individuals and companies. Individuals may want to see the opinion of other customers about a product to analyze it before buying it.  ...  Mining is used on product reviews that are available on different blogs, web forums, and product review sites to evaluate opinions of customers.  ...  Improved tools and techniques :Different tools and techniques have been developed to improve the quality of the databases in recent years, leading to a better discovery environment.  Data warehouse instead  ... 
doi:10.5120/7658-0762 fatcat:dhlzlwldozbibdexx5fjyvs4ym

Business Process Mining [article]

Asef Pourmasoumi, Ebrahim Bagheri
2016 arXiv   pre-print
Process mining is an emerging area that can be useful in helping organizations understand the status quo, check for compliance and plan for improving their processes.  ...  One of the most valuable assets of an organization is its organizational data. The analysis and mining of this potential hidden treasure can lead to much added-value for the organization.  ...  Most of data mining techniques such as classification, clustering, and sequence mining can be used in process mining as well.  ... 
arXiv:1607.00607v1 fatcat:3mndidjjnrdvjcfh4hvzv7zup4
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