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Improved Clustering Technique in Marketing Sector
2017
International Journal of Trend in Scientific Research and Development
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for investment decisions. ...
Experimental results show difference between clustered and non clustered data of marketing product that represent in graphically and theoretically. ...
Acknowledgment I feel deeply indebted and thankful to all who opined for technical knowhow and helped in collection of market data also feel thankful to my guide Shelke mam and to all who directly and ...
doi:10.31142/ijtsrd98
fatcat:spljnfptcvawnpqil6gkmv7yqm
Machine Learning Clustering Method for Analysis of Blood Donor Deferral
2021
International Journal of Computer Applications
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This paper discusses the implementation of clustering technique with related to risk factors associated with the donors for becoming deferred donors. ...
The data for this implementation is collected from local hospitals. The developed system is an unsupervised learning technique. ...
The cost of software development and maintenance can be reduced by using clustering techniques during requirement engineering process. ...
doi:10.5120/ijca2021921659
fatcat:xnvf74w5vzcrtoqwns7gedq7t4
Determining the Development Level of Cappadocia Tourism
2022
Zenodo
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For this purpose, questionnaire technique which is one of the quantitative research methods were applied to the local population. ...
In the analysis of data, central tendency measures and clustering analysis were used. ...
Researches studying the attitudes and perceptions of local people are important evaluations for the successful development, marketing and running of current and future tourism programs (Akbar et al., ...
doi:10.5281/zenodo.6501333
fatcat:5mhvcm2wonbujbcm3fk6yf7abi
Machine Learning on Emotional Intelligence and Work Life Balance
2015
International Journal of Computer Applications
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The clustering and classification techniques are applied on same dataset of human emotions, which deals with different types of analysis. ...
Here, we examine how far the employees are conscious of their own self and found the ideas and views of an individual about themselves and others. ...
These are skills that are contained in the genetic development of people and serve for the survival and adaptation of mankind. ...
doi:10.5120/20376-2597
fatcat:b4osbofk3za7rd2y5wqgxfkd7q
Using Concept Mapping for Needs Analysis for a Social Support System in Learning Network
2011
International Journal of Interactive Mobile Technologies
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Each of the participants were invited by email and given a brief description about the scenario for the need of a tool in an online Learning Network to find people for help (social support system). ...
These ideas were sorted and rated, and further analysis with Concept Mapping produced ten relevant clusters of interest. ...
The clusters identified, will also provide a way to evaluate any such system which needs and early evaluation to meet the user needs. ...
doi:10.3991/ijim.v5i1.1520
fatcat:mdfagjkc3ja2bpqfyij4os4jva
Recommending collaboration with social networks
2003
Proceedings of the conference on Human factors in computing systems - CHI '03
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The system matches people looking for expertise with individuals likely to have expertise. The effectiveness of social networks for matching individuals is evaluated and compared. ...
This finding and others raise issues for the use of social networks in groupware. Based on the evaluation results, several design considerations are discussed. ...
Special recognition goes to James Boster for consulting and Wayne Lutters for help with data collection. ...
doi:10.1145/642712.642714
fatcat:bwvrvixoa5g55emx3ntsnprcae
Evaluation of Clustering Methods for Student Learning Style Based Neuro Linguistic Programming
2018
International Journal of Engineering & Technology
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This paper addresses the evaluation of clustering methods for the identification of learning style based on system preferences. ...
It is then pre- processed to prepare the data for clustering method evaluations. ...
System Department, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia for providing essential support and knowledge for the work. ...
doi:10.14419/ijet.v7i3.15.17408
fatcat:5w2w5dy7bna73gtyb7zolifztq
Recommending collaboration with social networks
2003
Proceedings of the conference on Human factors in computing systems - CHI '03
Preserved Fulltext
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The system matches people looking for expertise with individuals likely to have expertise. The effectiveness of social networks for matching individuals is evaluated and compared. ...
This finding and others raise issues for the use of social networks in groupware. Based on the evaluation results, several design considerations are discussed. ...
Special recognition goes to James Boster for consulting and Wayne Lutters for help with data collection. ...
doi:10.1145/642611.642714
dblp:conf/chi/McDonald03
fatcat:uhycbta7ajcsxg6wk7we7st3ay
Documents Clustering Using K-Means Algorithm
2018
IT for society : journal of information technology
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<p>Nowadays in the digital era, people could easily access and stored a wide range of information through the Internet into documents. ...
With the huge number of unstructured documents with various type of information in digital storage, people need an application that could help them organize and classify the documents automatically. ...
(1967) to find groups for a set of data based on their attribute with the number of groups as a cluster represented by variable K [20] . ...
doi:10.33021/itfs.v3i02.589
fatcat:43msgiy4cjftba74huugoqpqbq
Data Mining in the Mixed Methods: Application to the Study of the Psychological Profiles of Athletes
2019
Frontiers in Psychology
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A study developed shows how data mining techniques can be a very interesting complement to mixed methods, because such techniques can work with qualitative and quantitative data together, obtaining numeric ...
Data mining is seen as a set of techniques and technologies allowing to extract, automatically or semi-automatically, a lot of useful information, models, and tendencies from a big set of data. ...
There are many data mining techniques. One of them is clustering. Clustering technique allocates data into subsets that share some characteristics. ...
doi:10.3389/fpsyg.2019.02675
pmid:31866896
pmcid:PMC6906179
fatcat:ohxrehhiw5agxa3ob5pkuilgjy
A robust multimedia surveillance system for people counting
2016
Multimedia tools and applications
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In addition, it reduces the training error, set-up time, cost and open the door to develop more accurate people detection methods. ...
This paper presents an intelligent CCTV crowd counting system based on two algorithms that estimate the density of each pixel in each frame and use it as a basis for counting people. ...
and fusion techniques are used in the proposed algorithms. • Two indoor and outdoor datasets are used for evaluation. • The accuracy of the proposed system is, at least, comparable with the state of the ...
doi:10.1007/s11042-016-4156-x
fatcat:jor44vyzsjddlpnxajmaokac4i
Smart Transportation Based Car Pooling System
2020
E3S Web of Conferences
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Sharing of car is Carpooling, so that multiple number of people can travel in single car. the use of car pooling reduces single individuals Travelling cost , reduces the fuel cost and reduces the number ...
So by Smart transportation using car pooling system the individual can travel and share there rides with different people of a same destination. In this paper we have carried outs survey. ...
It also apply machine learning cluster algorithm likek-mean and the density based spatial clustering of application with noise (DBSCAN) is applied for optimizing the rank between different match trips. ...
doi:10.1051/e3sconf/202017003004
fatcat:kxouj237wbablex27tc3y4gjty
Hybrid Friend Recommendation Approach based on Clustering and Similarity Index
2018
International Journal for Research in Applied Science and Engineering Technology
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In this work, a modified version of clustering and filtering approach has been proposed as the hybrid solution for recommendation purpose. ...
The complete solution is developed using Java technology and evaluated on basis of precision, recall and fscore. Table 1(a): List of All selected User ID Table 1(b): List of All selected Threshold V. ...
A survey of around 350 people has been made using googledocs and prepared for further process.
D. ...
doi:10.22214/ijraset.2018.5248
fatcat:7ux6bilb35aezabfqahurfuoim
Text Mining In Healthcare
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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This paper starts with introducing data mining and the healthcare paradigm. This study confers various techniques of data mining in healthcare application domain. ...
Finally, the paper highlights the need for personalized prescriptive systems for patients and healthcare professionals ...
The author developed single mobile app after surveying existing apps and people of different age and gender. ...
doi:10.35940/ijitee.b1111.1292s19
fatcat:s6rtt3a33ncrfgpxpksnu2hdny
ONLINE REVIEW MINING FOR FORECASTING SALES
2013
International Journal of Research in Engineering and Technology
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We propose clustering and classification based algorithm for sentiment analysis. ...
The growing popularity of online product review forums invites people to express opinions and sentiments toward the products .It gives the knowledge about the product as well as sentiment of people towards ...
Despite the subjectivity of people evaluations in the reviews, such evaluations are often considered more credible and trustworthy by people than traditional sources of information (Bickart and Schindler ...
doi:10.15623/ijret.2013.0212009
fatcat:z7h3ir5wmvanzosterndtyq7ri
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