Academic literature on the topic 'Data Mining Approaches'
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Journal articles on the topic "Data Mining Approaches"
Mamitsuka, Hiroshi. "Glycoinformatics: Data Mining-based Approaches." CHIMIA International Journal for Chemistry 65, no. 1 (February 23, 2011): 10–13. http://dx.doi.org/10.2533/chimia.2011.10.
Full textXiao, Wenke, Lijia Jing, Yaxin Xu, Shichao Zheng, Yanxiong Gan, and Chuanbiao Wen. "Different Data Mining Approaches Based Medical Text Data." Journal of Healthcare Engineering 2021 (December 6, 2021): 1–11. http://dx.doi.org/10.1155/2021/1285167.
Full textMeng, Jun, Xiao Chen, Tian Yu Zhu, and Yang Yang Pan. "Data Mining Approaches in Manpower Evaluation." Applied Mechanics and Materials 513-517 (February 2014): 750–53. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.750.
Full textCordero, F., M. Botta, and R. A. Calogero. "Microarray data analysis and mining approaches." Briefings in Functional Genomics and Proteomics 6, no. 4 (January 22, 2008): 265–81. http://dx.doi.org/10.1093/bfgp/elm034.
Full textBöcker, Alexander, Gisbert Schneider, and Andreas Teckentrup. "Status of HTS Data Mining Approaches." QSAR & Combinatorial Science 23, no. 4 (June 2004): 207–13. http://dx.doi.org/10.1002/qsar.200330860.
Full textYang, Yongliang, S. James Adelstein, and Amin I. Kassis. "Target discovery from data mining approaches." Drug Discovery Today 14, no. 3-4 (February 2009): 147–54. http://dx.doi.org/10.1016/j.drudis.2008.12.005.
Full textYang, Yongliang, S. James Adelstein, and Amin I. Kassis. "Target discovery from data mining approaches." Drug Discovery Today 17 (February 2012): S16—S23. http://dx.doi.org/10.1016/j.drudis.2011.12.006.
Full textPetry, Frederick E. "Data Mining Approaches for Geo-Spatial Big Data." International Journal of Organizational and Collective Intelligence 3, no. 1 (January 2012): 52–71. http://dx.doi.org/10.4018/joci.2012010104.
Full textSRIRAAM, N., V. NATASHA, and H. KAUR. "DATA MINING APPROACHES FOR KIDNEY DIALYSIS TREATMENT." Journal of Mechanics in Medicine and Biology 06, no. 02 (June 2006): 109–21. http://dx.doi.org/10.1142/s0219519406001893.
Full textFridman, Olga V. "Data Mining - methods and algorithms, summary." Transaction Kola Science Centre 12, no. 5-2021 (December 27, 2021): 91–103. http://dx.doi.org/10.37614/2307-5252.2021.5.12.008.
Full textDissertations / Theses on the topic "Data Mining Approaches"
Liu, Xiao, and Xiao Liu. "Health Data Analytics: Data and Text Mining Approaches for Pharmacovigilance." Diss., The University of Arizona, 2016. http://hdl.handle.net/10150/620913.
Full textMa, Yao. "Financial market predictions using Web mining approaches /." View abstract or full-text, 2009. http://library.ust.hk/cgi/db/thesis.pl?CSED%202009%20MAY.
Full textOtaki, Keisuke. "Algorithmic Approaches to Pattern Mining from Structured Data." 京都大学 (Kyoto University), 2016. http://hdl.handle.net/2433/215673.
Full textKyoto University (京都大学)
0048
新制・課程博士
博士(情報学)
甲第19846号
情博第597号
新制||情||104(附属図書館)
32882
京都大学大学院情報学研究科知能情報学専攻
(主査)教授 山本 章博, 教授 鹿島 久嗣, 教授 阿久津 達也
学位規則第4条第1項該当
Yang, L. "Optimisation approaches for data mining in biological systems." Thesis, University College London (University of London), 2016. http://discovery.ucl.ac.uk/1473809/.
Full textYun, Unil. "New approaches to weighted frequent pattern mining." Texas A&M University, 2005. http://hdl.handle.net/1969.1/5003.
Full textShao, Huijuan. "Temporal Mining Approaches for Smart Buildings Research." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/84349.
Full textPh. D.
Delpisheh, Elnaz, and University of Lethbridge Faculty of Arts and Science. "Two new approaches to evaluate association rules." Thesis, Lethbridge, Alta. : University of Lethbridge, Dept. of Mathematics and Computer Science, c2010, 2010. http://hdl.handle.net/10133/2530.
Full textviii, 85 leaves : ill. ; 29 cm
Shen, Shijun. "Approaches to creating anonymous patient database." Morgantown, W. Va. : [West Virginia University Libraries], 2000. http://etd.wvu.edu/templates/showETD.cfm?recnum=1693.
Full textTitle from document title page. Document formatted into pages; contains v, 68 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 67-68).
Mougel, Pierre-Nicolas. "Finding homogeneous collections of dense subgraphs using constraint-based data mining approaches." Thesis, Lyon, INSA, 2012. http://www.theses.fr/2012ISAL0073.
Full textThe work presented in this thesis deals with data mining approaches for the analysis of attributed graphs. An attributed graph is a graph where properties, encoded by means of attributes, are associated to each vertex. In such data, our objective is the discovery of subgraphs formed by several dense groups of vertices that are homogeneous with respect to the attributes. More precisely, we define the constraint-based extraction of collections of subgraphs densely connected and such that the vertices share enough attributes. To this aim, we propose two new classes of patterns along with sound and complete algorithms to compute them efficiently using constraint-based approaches. The first family of patterns, named Maximal Homogeneous Clique Set (MHCS), contains patterns satisfying constraints on the number of dense subgraphs, on the size of these subgraphs, and on the number of shared attributes. The second class of patterns, named Collection of Homogeneous k-clique Percolated components (CoHoP), is based on a relaxed notion of density in order to handle missing values. Both approaches are used for the analysis of scientific collaboration networks and protein-protein interaction networks. The extracted patterns exhibit structures useful in a decision support process. Indeed, in a scientific collaboration network, the analysis of such structures might give hints to propose new collaborations between researchers working on the same subjects. In a protein-protein interaction network, the analysis of the extracted patterns can be used to study the relationships between modules of proteins involved in similar biological situations. The analysis of the performances, on real and synthetic data, with respect to different attributed graph characteristics, shows that the proposed approaches scale well for large datasets
Johansson, Fernstad Sara. "Algorithmically Guided Information Visualization : Explorative Approaches for High Dimensional, Mixed and Categorical Data." Doctoral thesis, Linköpings universitet, Medie- och Informationsteknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-70860.
Full textBooks on the topic "Data Mining Approaches"
1937-, Lin Tsau Y., ed. Foundations and novel approaches in data mining. Berlin: Springer, 2006.
Find full textYoung Lin, Tsau, Setsuo Ohsuga, Churn-Jung Liau, and Xiaohua Hu, eds. Foundations and Novel Approaches in Data Mining. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11539827.
Full textBiodata mining and visualization: Novel approaches. Singapore: World Scientific, 2010.
Find full textTaniar, David, and Li Chen. Integrations of data warehousing, data mining and database technologies: Innovative approaches. Hershey, PA: Information Science Reference, 2011.
Find full textlibrary, Wiley online, ed. Pharmaceutical data mining: Approaches and applications for drug discovery. Hoboken, N.J: Wiley, 2010.
Find full textPharmaceutical data mining: Approaches and applications for drug discovery. Hoboken, N.J: Wiley, 2010.
Find full textLakshmanan, Valliappa, Eric Gilleland, Amy McGovern, and Martin Tingley, eds. Machine Learning and Data Mining Approaches to Climate Science. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17220-0.
Full text1965-, Sanger James, ed. The text mining handbook: Advanced approaches in analyzing unstructured data. New York: Cambridge University Press, 2006.
Find full textFeldman, Ronen. The text mining handbook: Advanced approaches in analyzing unstructured data. Cambridge: Cambridge University Press, 2007.
Find full textShawkat Ali, A. B. M. and Xiang Yang 1975-, eds. Dynamic and advanced data mining for progressing technological development: Innovations and systemic approaches. Hershey, PA: Information Science Reference, 2010.
Find full textBook chapters on the topic "Data Mining Approaches"
Raghavan, Vijay, and Alaaeldin Hafez. "Dynamic Data Mining." In Intelligent Problem Solving. Methodologies and Approaches, 220–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45049-1_27.
Full textMucherino, Antonio, Petraq J. Papajorgji, and Panos M. Pardalos. "Statistical Based Approaches." In Data Mining in Agriculture, 23–45. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-88615-2_2.
Full textKramer, Stefan, Nada Lavrač, and Peter Flach. "Propositionalization Approaches to Relational Data Mining." In Relational Data Mining, 262–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04599-2_11.
Full textKirsten, Mathias, Stefan Wrobel, and Tamás Horváth. "Distance Based Approaches to Relational Learning and Clustering." In Relational Data Mining, 213–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04599-2_9.
Full textBaldini, Paolo, Silvia Figini, and Paolo Giudici. "Nonparametric Approaches for e-Learning Data." In Advances in Data Mining. Applications in Medicine, Web Mining, Marketing, Image and Signal Mining, 548–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11790853_43.
Full textBessiere, Christian, Abderrazak Daoudi, Emmanuel Hebrard, George Katsirelos, Nadjib Lazaar, Younes Mechqrane, Nina Narodytska, Claude-Guy Quimper, and Toby Walsh. "New Approaches to Constraint Acquisition." In Data Mining and Constraint Programming, 51–76. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-50137-6_3.
Full textHalkidi, Maria, and Michalis Vazirgiannis. "Quality Assessment Approaches in Data Mining." In Data Mining and Knowledge Discovery Handbook, 613–39. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-09823-4_31.
Full textSimovici, Dan. "Intelligent Data Analysis Techniques—Machine Learning and Data Mining." In Artificial Intelligent Approaches in Petroleum Geosciences, 1–51. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16531-8_1.
Full textFreitas, Alex A., and Simon H. Lavington. "Approaches to Speed Up Data Mining." In Mining Very Large Databases with Parallel Processing, 89–108. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-5521-6_10.
Full textNakayama, Hirotaka. "MOP/GP Approaches to Data Mining." In Multi-Objective Programming and Goal Programming, 27–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-36510-5_3.
Full textConference papers on the topic "Data Mining Approaches"
Grzymala-Busse, J. W. "A comparison of traditional and rough set approaches to missing attribute values in data mining." In DATA MINING 2009. Southampton, UK: WIT Press, 2009. http://dx.doi.org/10.2495/data090161.
Full textMeng, Jun, Xiao Chen, Tianyu Zhu, and Yangyang Pan. "Data mining Approaches in Manpower Evaluation." In 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013). Paris, France: Atlantis Press, 2013. http://dx.doi.org/10.2991/iccsee.2013.115.
Full textSalankar, Suresh, Ameya Salankar, Atharva Sune, Prakhar Suryavansh, and Harsh Kumar. "Crop Suggestion using Data Mining Approaches." In 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2021. http://dx.doi.org/10.1109/icccnt51525.2021.9579999.
Full text"Towards Online Data Mining System for Enterprises." In 7th International Conference on Evaluation of Novel Approaches to Software Engineering. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0004098101870192.
Full textOliveira, R. L., B. S. L. P. de Lima, and N. F. F. Ebecken. "A comparison of bio-inspired metaheuristic approaches in classification tasks." In DATA MINING & INFORMATION ENGINEERING 2007. Southampton, UK: WIT Press, 2007. http://dx.doi.org/10.2495/data070031.
Full textDe Bruin, Jeroen, Tim Cocx, Walter Kosters, Jeroen J. Laros, and Joost Kok. "Data Mining Approaches to Criminal Career Analysis." In Sixth International Conference on Data Mining (ICDM'06). IEEE, 2006. http://dx.doi.org/10.1109/icdm.2006.47.
Full textYoon, S. C., I. Y. Song, and E. K. Park. "Intensional query processing using data mining approaches." In the sixth international conference. New York, New York, USA: ACM Press, 1997. http://dx.doi.org/10.1145/266714.266896.
Full textDZIUDA, DARIUS M. "DATA MINING APPROACHES TO MULTIVARIATE BIOMARKER DISCOVERY." In Proceedings of Statistics 2011 Canada/IMST 2011-FIM XX. WORLD SCIENTIFIC, 2013. http://dx.doi.org/10.1142/9789814417983_0008.
Full textSundaravaradan, Naren, Manish Marwah, Amip Shah, and Naren Ramakrishnan. "Data mining approaches for life cycle assessment." In 2011 IEEE International Symposium on Sustainable Systems and Technology (ISSST). IEEE, 2011. http://dx.doi.org/10.1109/issst.2011.5936863.
Full textDEMIRCI, Mustafa, Bestami TAŞAR, Yunus Ziya KAYA, Ercan GEMİCİ, and Ercan GEMİCİ. "Monthly Groundwater Level Modeling Using Data Mining Approaches." In Air and Water – Components of the Environment 2021 Conference Proceedings. Casa Cărţii de Ştiinţă, 2021. http://dx.doi.org/10.24193/awc2021_07.
Full textReports on the topic "Data Mining Approaches"
Lee, Wenke, and Salvatore J. Stolfo. Data Mining Approaches for Intrusion Detection. Fort Belvoir, VA: Defense Technical Information Center, October 2000. http://dx.doi.org/10.21236/ada401496.
Full textDurovic, Mateja, and Franciszek Lech. A Consumer Law Perspective on the Commercialization of Data. Universitätsbibliothek J. C. Senckenberg, Frankfurt am Main, 2021. http://dx.doi.org/10.21248/gups.64577.
Full textSmith, III, Nguyen James F., and ThanhVu H. Evolutionary Data Mining Approach to Creating Digital Logic. Fort Belvoir, VA: Defense Technical Information Center, January 2010. http://dx.doi.org/10.21236/ada524122.
Full textLang, Chunmin, Li Zhao, and Muzhen Li. Understanding Consumers� Online Fashion Renting Experiences: A Data-Mining Approach. Ames (Iowa): Iowa State University. Library, January 2019. http://dx.doi.org/10.31274/itaa.8332.
Full textde Kemp, E. A., H. A. J. Russell, B. Brodaric, D. B. Snyder, M. J. Hillier, M. St-Onge, C. Harrison, et al. Initiating transformative geoscience practice at the Geological Survey of Canada: Canada in 3D. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331097.
Full textNORTH CAROLINA STATE UNIV AT RALEIGH. A Data Mining approach for building cost-sensitive and light intrusion detection models. Fort Belvoir, VA: Defense Technical Information Center, March 2004. http://dx.doi.org/10.21236/ada422555.
Full textLin, Zongli, and Scott T. Acton. Research Area 5: Video Data Mining and Target Tracking: A Model Adaptation and Feedback Control Approach. Fort Belvoir, VA: Defense Technical Information Center, May 2014. http://dx.doi.org/10.21236/ada605921.
Full textPou, Jose, Jeff Duffany, and Alfredo Cruz. Terrorist Activity Evaluation and Pattern Detection (TAE&PD) in Afghanistan: A Knowledge Discovery and Data Mining (KDDM) Approach for Counter-Terrorism. Fort Belvoir, VA: Defense Technical Information Center, August 2012. http://dx.doi.org/10.21236/ada581564.
Full textGhanim, Murad, Joe Cicero, Judith K. Brown, and Henryk Czosnek. Dissection of Whitefly-geminivirus Interactions at the Transcriptomic, Proteomic and Cellular Levels. United States Department of Agriculture, February 2010. http://dx.doi.org/10.32747/2010.7592654.bard.
Full textKindt, Roeland, Ian K Dawson, Jens-Peter B Lillesø, Alice Muchugi, Fabio Pedercini, and James M Roshetko. The one hundred tree species prioritized for planting in the tropics and subtropics as indicated by database mining. World Agroforestry, 2021. http://dx.doi.org/10.5716/wp21001.pdf.
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