Filters








75,610 Hits in 6.1 sec

Visualization techniques for mining large databases: a comparison

D.A. Keim, H.-P. Kriegel
1996 IEEE Transactions on Knowledge and Data Engineering  
Visual data mining techniques have proven to be of high value in exploratory data analysis and they also have a high potential for mining large databases.  ...  In this article, we describe and evaluate a new visualization-based approach to mining large databases.  ...  Evaluation and Comparison of Visual Data Mining Techniques A central goal of this article is to evaluate and compare the techniques which may be used for visualizing large databases.  ... 
doi:10.1109/69.553159 fatcat:mjlnlfmw5vhkpn74aifa6xkr7u

A comparison of microarray databases

M. Gardiner-Garden
2001 Briefings in Bioinformatics  
://www.ncgr.org/ Harry Mangalam (hjm@ncgr.org) GeneDirector BioDiscovery a The people listed here can be contacted for more information about the databases.  ...  A proliferation of microarray databases has resulted. It can be dif®cult for researchers exploring this technology to know which bioinformatics systems best meet their requirements.  ...  We are grateful to Andrew Hamilton and Matthew Hobbs for helpful discussions.  ... 
doi:10.1093/bib/2.2.143 pmid:11465732 fatcat:f6sux2jvt5bnvmwu2xukuf5bse

A comparison of three design tree based search algorithms for the detection of engineering parts constructed with CATIA V5 in large databases

Robin Roj
2014 Journal of Computational Design and Engineering  
This paper presents three different search engines for the detection of CAD-parts in large databases.  ...  The paper also includes a short comparison of the advantages and disadvantages of each program, as well as a performance test.  ...  parts from a large database.  ... 
doi:10.7315/jcde.2014.016 fatcat:geqkvsq4lvedbn5z666dz5ytn4

Mining business databases

Ronald J. Brachman, Tom Khabaza, Willi Kloesgen, Gregory Piatetsky-Shapiro, Evangelos Simoudis
1996 Communications of the ACM  
Acknowledgments We thank Usama Fayyad and Sam Uthurusamy for encouraging us to write this article, Padhraic Smyth for his ideas on data mining tasks, and Robert Golan for help on financial applications  ...  These techniques and tools are the subject of the growing field of knowledge discovery in databases (KDD) [5] . KDD is an umbrella term describing a variety of activities for making sense of data.  ...  IDEA also has an intuitive visual language for representing data mining procedures and is especially powerful for segmenting data, an operation very important in marketing applications.  ... 
doi:10.1145/240455.240468 fatcat:23dbhk7wtvd3jajrw7xxtdges4

Survey of Web Database Clustering Techniques

2016 International Journal of Science and Research (IJSR)  
For the encoded data units to be machine processable , which is essential for many applications such as deep web data collection and Internet comparison shopping, they need to be extracted out and assigned  ...  Nowadays databases have become web accessible through HTML form-based search interfaces The data units returned are encoded into the result pages dynamically for human browsing.  ...  A large portion of the deep web is database based, i.e., for many search engines, data encoded in the returned result pages come from the underlying structured databases.  ... 
doi:10.21275/v5i2.nov161214 fatcat:byuitsutfndi7enfo27tweiy4e

Pixel-oriented database visualizations

Daniel A. Keim
1996 SIGMOD record  
large databases.  ...  Examples for the class of query-dependent techniques are the generalized spiral and circle-segments techniques, which visualize the distances with respect to a database query and arrange the most relevant  ...  Acknowledgments Developing a large number of diverse visualization techniques and implementing a complex system such as the VisDB system can not be done by a single person.  ... 
doi:10.1145/245882.245896 fatcat:vlm2qhlzrzf5zidbhf7guamuqa

Analysing Effect of Database Grouping on Multi-Database Mining

Animesh Adhikari, Lakhmi C. Jain, Sheela Ramanna
2011 The IEEE intelligent informatics bulletin  
The goal of this paper is to analyse the effect of database grouping on multi-database mining. For this purpose we design a database grouping algorithm.  ...  We introduce an approach of non-local pattern analysis (NLPA) by combining database grouping algorithm and pipelined feedback technique for multi-database mining.  ...  Local pattern analysis [19] , [5] is an important approach of mining multiple large databases. One could obtain reasonably good solutions for a large class of problems.  ... 
dblp:journals/cib/AdhikariJR11 fatcat:dboxvbn2t5egvjr4p5l323n2by

Medical Multimedia Databases [chapter]

Peter L. Stanchev, Farshad Fotouhi, Mohammad-Reza Siadat, Hamid Soltanian-Zadeh
2003 Multimedia Mining  
Brain image segmentation techniques A large number of researches have been done in image segmentation particularly in medical image segmentation.  ...  The database gives us the possibility for data mining and defining interesting findings. The MEDIMAGE system architecture is presented in the Figure 1 .  ... 
doi:10.1007/978-1-4615-1141-0_8 fatcat:o6mudnlm65fsvjyvuqti3ogmna

Knowledge discovery in patent databases

Konstantinos Markellos, Katerina Perdikuri, Penelope Markellou, Spiros Sirmakessis, George Mayritsakis, Athanasios Tsakalidis
2002 Proceedings of the eleventh international conference on Information and knowledge management - CIKM '02  
In this paper we present a system that combines efficient and innovative methodologies and tools for the analysis of patent data stored in many international databases and the production of scientific  ...  In our days scientific, business and personal databases are growing in an exponential rate. What is truly valuable in large databases is the knowledge that can be extracted from the stored data.  ...  In addition, as the usual Data Mining techniques [7] are essentially designed to operate on structured databases, specific techniques, called Text Mining techniques, have been developed to process the  ... 
doi:10.1145/584902.584915 fatcat:moxini7cyngwbkp7q3t6g4lldu

Organic Databases [chapter]

H. V. Jagadish, Arnab Nandi, Li Qian
2011 Lecture Notes in Computer Science  
The idea is to let the user start storing data in a database with a schema that is just enough to cove the instances at hand. We then support efficient schema evolution as new data instances arrive.  ...  All of this effort is a major barrier to database adoption. In this paper, we explore the possibility of organic database creation instead of the traditional engineered approach.  ...  Challenges involve mining conceptual changes from large amounts of changes to the database (e.g.  ... 
doi:10.1007/978-3-642-25731-5_5 fatcat:qtxquvanmfb2nhltek4u44pmcu

Organic databases

H.V. Jagadish, Li Qian, Arnab Nandi
2015 International Journal of Computational Science and Engineering (IJCSE)  
The idea is to let the user start storing data in a database with a schema that is just enough to cove the instances at hand. We then support efficient schema evolution as new data instances arrive.  ...  All of this effort is a major barrier to database adoption. In this paper, we explore the possibility of organic database creation instead of the traditional engineered approach.  ...  Challenges involve mining conceptual changes from large amounts of changes to the database (e.g.  ... 
doi:10.1504/ijcse.2015.072651 fatcat:gkfej2cdxfadji4diqrxy5x7z4

A survey on cbir techniques and learning algorithm comparison

2016 International Journal of Latest Trends in Engineering and Technology  
Indeed, we have used the 2-D ESPRIT technique to mine from image the frequency content for constructing the vector descriptor.  ...  CBIR based on Visual Contents Here we have various approaches of retrieving images from large database on the basis of its visual contents and some of its limitations [12] . IV.  ... 
doi:10.21172/1.81.026 fatcat:jvw72a4pmjhmzogib5gqy7sgqm

OUP accepted manuscript

2018 Database: The Journal of Biological Databases and Curation  
Database URL: https://github.com/FabienneL/BioNet-Mining  ...  Specifically for the problem of finding patterns in large networks only partial solutions exist.  ...  Acknowledgements The authors like to thank Faiz Muhammad Khan for the many fruitful discussions and Martin Scharm for helping with scripting issues. Conflict of interest. None declared.  ... 
doi:10.1093/database/bay051 pmid:29992320 pmcid:PMC6030809 fatcat:3qnywfjsezgmrdyz3s5cfs7ae4

Usability, Databases, and HCI

Fei Li, H. V. Jagadish
2012 IEEE Data Engineering Bulletin  
Today, databases are widely used in a broad range of organizations, and are the basis for a vibrant commercial sector.  ...  As usability is becoming recognized as a crucial feature for databases, there is growing reason for us to pay attention to the principles of Human Computer Interaction (HCI).  ...  Visual Interfaces Forms are the traditional way for naive users to query a database.  ... 
dblp:journals/debu/LiJ12 fatcat:pjz45h5f4rbzjldtbpjjjs3xze

Pattern recognition in time series database: A case study on financial database

Yan-Ping Huang, Chung-Chian Hsu, Sheng-Hsuan Wang
2007 Expert systems with applications  
Data Mining is the process of automatically searching large volumes of data for patterns and it is also a fairly recent and contemporary topic in computing.  ...  The purpose of this study is to provide a novel architecture in mining patterns from mixed data that uses a systematic approach in the financial database information mining, and try to find the patterns  ...  Data mining is the process of automatically searching large volumes of data for patterns. Data mining is a fairly recent and contemporary topic in computing.  ... 
doi:10.1016/j.eswa.2006.04.022 fatcat:6aud4hnym5bplmqcrkeninjac4
« Previous Showing results 1 — 15 out of 75,610 results