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Technology and knowledge document cluster analysis for enterprise R&D strategic planning
2006
International Journal of Technology Management
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Furthermore, the methodologies proposed in this paper include patent map analysis, patent technology clustering, patent document clustering and technology maturity measurement. ...
Through these methodologies, companies can gain rich information and perform better in patent management. ...
Case study In order to demonstrate the proposed methodologies for patent document analysis, a case concerning hand tool patents is provided. ...
doi:10.1504/ijtm.2006.010271
fatcat:x4phj3dql5a25n3nc6fdkivfr4
SELECTING CLASSIFICATION AND CLUSTERING TOOLS FOR ACADEMIC SUPPORT
2007
Issues in Information Systems
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This paper presents a method for selecting data mining software for an academic environment based on its classification and clustering tools. ...
Classification and clustering are powerful and popular data mining techniques. Organizations use them to capture information, retain customers, and improve business performance. ...
Additionally, some databases may hold information which is not of a type which is useful for decision tree induction and clustering. ...
doi:10.48009/2_iis_2007_265-272
fatcat:55lkwbqskrbvbgb4jz3dhngoya
Mining the knowledge mine
[chapter]
1997
Lecture Notes in Computer Science
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This paper presents the hot spots methodology, adopting a multi-strategy and interactive approach to help focus on the important nuggets. ...
As databases grow in size and complexity the task of adding value to the wealth of data becomes difficult. ...
These are augmented with post analysis tools. This methodology we refer to as the hot spots methodology: cluster; rule induction; nugget evaluation. ...
doi:10.1007/3-540-63797-4_87
fatcat:ts53kcwb6jdepbkbbsb5mlsiuy
Comparative Study of Data Mining Tools and Analysis with Unified Data Mining Theory
2013
International Journal of Computer Applications
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This research provides with the complete analysis of a tool regarding the features and functionalities offered by them. ...
However, in this paper, a study will be presented of analysis of the selected tools to deal with the selection of the most apt tool for mining suitable for a particular data type. ...
A methodology to deal with manual implementation of mining algorithm with the data mining tools: A general framework. ...
doi:10.5120/13195-0862
fatcat:cjeqmufoxvdwxkkczwwz6k2vou
Performance Evaluation for Clustering Algorithms in Object-Oriented Database Systems
[article]
2007
arXiv
pre-print
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The aim of this paper is to propose a modelling methodology in order to evaluate the performances of different clustering policies. ...
This methodology has been used to compare the performances of three clustering algorithms found in the literature (Cactis, CK and ORION) that we considered representative of the current research in the ...
We have presented in this paper a methodology allowing the design of a tool enabling the a priori study or a posteriori comparison of the performances of clustering algorithms. ...
arXiv:0705.0454v1
fatcat:ccjyal4jd5hjpajngd2epi2kvm
Performance evaluation for clustering algorithms in object-oriented database systems
[chapter]
1995
Lecture Notes in Computer Science
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The aim of this paper is to propose a modelling methodology in order to evaluate the performances of different clustering policies. ...
This methodology has been used to compare the performances of three clustering algorithms found in the literature (Cactis, CK and ORION) that we considered representative of the current research in the ...
We have presented in this paper a methodology allowing the design of a tool enabling the a priori study or a posteriori comparison of the performances of clustering algorithms. ...
doi:10.1007/bfb0049117
fatcat:pbxrz25nbrdullw2r6wnsjvaxe
An evaluation of competitive and technological intelligence tools: A cluster analysis of users' perceptions
2018
Journal of Intelligence Studies in Business
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The identification of the different user profiles was done by using a cluster analysis. ...
The purpose of this article is to discuss and evaluate the use of competitive and technological intelligence (CTI) tools by students to help designers of these tools get the best efficiency out of a monitoring ...
It was designed and diffused to UniLaSalle students after applying CTI methodologies presented above. Our database is composed of 265 responses for clustering the users' monitoring tools. ...
doi:10.37380/jisib.v8i1.301
fatcat:sdexbr6zurbo5feqbdricn2mxe
Code4Thought Project: Employing the ISO/IEC-9126 Standard for Software Engineering-Product Quality Assessment
2009
2009 13th European Conference on Software Maintenance and Reengineering
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The aim of the Code4Thought project was to deliver a tool supported methodology that would facilitate the evaluation of a software product's quality according to ISO/IEC-9126 software engineering quality ...
It was a joint collaboration between Dynacomp S.A. ...
For this reason tools that mapped XML elements and nodes into any relational database, keeping the extraction method transparent from the underlying database were used. ...
doi:10.1109/csmr.2009.32
dblp:conf/csmr/AntonellisAKMTTT09
fatcat:jwxrn4lx7zgwdjq4hrdkg3kjyi
A view on the methodology of analysis and exploration of marketing data
2017
Proceedings of the 2017 Federated Conference on Computer Science and Information Systems
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The paper proposes a methodology for the development of a marketing decision support system using Big Data technology and data mining techniques. ...
marketing databases. ...
What is innovative, in terms of methodology, is to develop a prototype of a model and perform initial validation on a simplified case, using an easy-to-use data mining tool. ...
doi:10.15439/2017f442
dblp:conf/fedcsis/PondelK17
fatcat:n7txfam7qbe65bz7pvnslm3ybu
An empirical study of process-related attributes in segmented software cost-estimation relationships
2006
Journal of Systems and Software
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as drivers of the clustering process: the use of engineering methodologies and the use of CASE tools. ...
The segmentation of the input domain according to clusters obtained from the database of historical projects serves as a tool for more realistic models that use several local estimation relationships. ...
may eventually lead to clusters that better reflect the database characteristics, i.e. they are a tool to improve the "cost realism" of the models. ...
doi:10.1016/j.jss.2005.04.040
fatcat:7tvdnwvkizcafgi2ymg3frv34i
GreenPhylDB: A Gene Family Database for plant functional Genomics
2009
Nature Precedings
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Here, we present our methodology and annotation tool for the curation of Protein-coding gene sequence families, a critical step before any phylogenetic analysis. ...
Each cluster is first manually checked and then analyzed by a phylogeny approach to predict orthologs. ...
Here, we present our methodology and annotation tool for the curation of Protein-coding gene sequence families, a critical step before any phylogenetic analysis. . 6 ). ...
doi:10.1038/npre.2009.3136.1
fatcat:5gmt6mvemvgbpmisarpvhvia3m
The Multimorbidity Cluster Analysis Tool: Identifying Combinations and Permutations of Multiple Chronic Diseases Using a Record-Level Computational Analysis
2017
Journal of Innovation in Health Informatics
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As such, the Multimorbidity Cluster Analysis Tool and the accompanying Multimorbidity Cluster Analysis Toolkit have been created to allow researchers to identify distinct clusters that exist within a sample ...
Application: The computational program can be adapted to the methodological elements of a research project, including type of data, type of chronic disease reporting, measurement of multimorbidity, sample ...
summary of the background, development and use of the tool; 2) a summary of the process of creating both the input and output files for the tool and 3) a section detailing Frequently Asked Questions. ...
doi:10.14236/jhi.v24i4.962
pmid:29334352
fatcat:3hidnk4jgvem3hfels2ewihwby
A Big Data Modeling Methodology for Apache Cassandra
2015
2015 IEEE International Congress on Big Data
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modeling, iii) presents visual diagrams for Cassandra logical and physical data models, and iv) demonstrates a data modeling tool that automates the entire data modeling process. ...
Apache Cassandra is a leading distributed database of choice when it comes to big data management with zero downtime, linear scalability, and seamless multiple data center deployment. ...
ACKNOWLEDGEMENTS Artem Chebotko would like to thank Anthony Piazza, Patrick McFadin, Jonathan Ellis, and Tim Berglund for their support at various stages of this effort. ...
doi:10.1109/bigdatacongress.2015.41
dblp:conf/bigdata/ChebotkoKL15
fatcat:6esta7p35zfnlpq5iqqvnm7gwe
Systematic Reviews and Tech Mining, a Methodological Comparison with Case Study
2018
Research Synthesis Methods
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There are similarities and differences in each process: Both use a defined research question, deliberate database selection, careful and iterative search strategy development, broad data collection, and ...
We searched for new methodologies that were more appropriate to our question, developing a process that combined systematic review, text mining, and visualization techniques. ...
For the purposes of this paper, it is particularly important to distinguish between tech mining, a competitive intelligence methodology, and text mining, a collection of textual data analysis tools and ...
doi:10.1002/jrsm.1318
pmid:30129708
fatcat:mq4pir5wsvh6dfbp4s4k2ffjgq
A Hybrid Methodology for Pattern Recognition in Signaling Cervical Cancer Pathways
[chapter]
2010
Lecture Notes in Computer Science
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In this paper we propose a methodology based on the integration of expression data and signalling pathways as a needed phase for the pattern recognition within signaling CC pathways. ...
Our results provide a top-down interpretation approach where biologists interact with the recognized patterns inside signalling pathways. ...
Therefore, we performed an unsupervised clustering; using the R hierarchical clustering tools [35] . ...
doi:10.1007/978-3-642-15992-3_32
fatcat:u3lcroedangdzjvl46wfc5g3ku
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