المؤلفون: Eduardo, Simão Fernandes Lopes Marques

المساهمون: Sutton, Charles, Williams, Chris

مصطلحات موضوعية: poor quality data, outliers, corrupting errors, data cleaning, automated data cleaning, deep learning

الوصول الحر: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.884176Test

المؤلفون: Woolley, Charlotte Sarah Catherine

المساهمون: Clements, Dylan, Schoenebeck, Jeffrey, Bronsvoort, Mark, Handel, Ian

مصطلحات موضوعية: data science, epidemiology, canine, Google trends, Dogslife, COVID-19, vomiting, data cleaning, dog, microbiome, gastrointestional health, statistical analysis, questionnaires

الوصول الحر: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.872242Test

المؤلفون: Lee, Cho Ting

مرشدي الرسالة: Computer Science and#38; Applications, Ramakrishnan, Narendran, Simeone, John, Lu, Chang Tien

مصطلحات موضوعية: LLMs, data cleaning, end-user programming

وصف الملف: ETD; application/pdf

الإتاحة: https://hdl.handle.net/10919/119304Test

المؤلفون: Ortona, Stefano

المساهمون: Gottlob, Georg

مصطلحات موضوعية: 005.75, Computer science, Web Data Extraction, Named Entity Recognition, Knoweldge Base, List Segmentation, Data Cleaning, Data Repair, Semantic Annotations

الوصول الحر: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.730155Test

المؤلفون: Zhang, Lei

المساهمون: Thomas, Sally, Leckie, George

مصطلحات موضوعية: 373.51, Multilevel Modelling, Causal inference, school effectiveness, teacher effectiveness, missing data, endogeneity, data harmonisation, data cleaning, data management

الوصول الحر: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.701391Test

المؤلفون: Rački, Anela

المساهمون: Dunđer, Ivan

مصطلحات موضوعية: DRUŠTVENE ZNANOSTI. Informacijske i komunikacijske znanosti, SOCIAL SCIENCES. Information and Communication Sciences, pretprocesiranje teksta, čišćenje nestrukturiranih podataka, obrada prirodnog jezika, Python programiranje, text preprocessing, unstructured data cleaning, natural language processing, Python programming

وصف الملف: application/pdf

العلاقة: https://zir.nsk.hr/islandora/object/ffzg:10564Test; https://urn.nsk.hr/urn:nbn:hr:131:732915Test; https://repozitorij.unizg.hr/islandora/object/ffzg:10564Test; https://repozitorij.unizg.hr/islandora/object/ffzg:10564/datastream/PDFTest

الإتاحة: https://zir.nsk.hr/islandora/object/ffzg:10564Test
https://urn.nsk.hr/urn:nbn:hr:131:732915Test
https://repozitorij.unizg.hr/islandora/object/ffzg:10564Test
https://repozitorij.unizg.hr/islandora/object/ffzg:10564/datastream/PDFTest

المؤلفون: Kovács, Márton

مصطلحات موضوعية: Data cleaning, Machine learning, Time-series data, User interface, Datarensning, Maskininlärning, Tidsseriedata, Användargränssnitt, Engineering and Technology, Teknik och teknologier

وصف الملف: application/pdf

العلاقة: TRITA-ITM-EX; 2024:406; http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-348722Test

الإتاحة: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-348722Test

المؤلفون: Ελευθεριάδης, Στυλιανός

المساهمون: Ευαγγελίδης, Γεώργιος, Πρόγραμμα Μεταπτυχιακών Σπουδών στην Τεχνητή Νοημοσύνη και Αναλυτική Δεδομένων

مصطلحات موضوعية: prototype generation, Prototype selection, Data mining, Data cleaning

العلاقة: http://dspace.lib.uom.gr/handle/2159/30778Test

الإتاحة: http://dspace.lib.uom.gr/handle/2159/30778Test

المؤلفون: Burroni, Luca

المساهمون: Denti, Enrico, Mastellari, Luca, Gravina, Fabio

مصطلحات موضوعية: Machine Learning,Logistica,Regressione,Data Preparation,Data Cleaning, Feature Selection,Stima Tempi,Boosting Algorithms,Regression Models, Outliers Filtering, Ingegneria informatica [LM-DM270]

وصف الملف: application/pdf

العلاقة: http://amslaurea.unibo.it/30735/1/BurroniLucaTesi.pdfTest; Burroni, Luca (2024) Tecniche di Machine Learning nei modelli previsionali per la pianificazione logistica. [Laurea magistrale], Università di Bologna, Corso di Studio in Ingegneria informatica [LM-DM270]

الإتاحة: http://amslaurea.unibo.it/30735Test/
http://amslaurea.unibo.it/30735/1/BurroniLucaTesi.pdfTest

المؤلفون: Liebchen, Gernot Armin

المساهمون: Shepperd, M., Cartwright, M. H., Counsell, S.

مصطلحات موضوعية: 005.3, Empirical software engineering, Data quality, Data cleaning, Software engineering data sets, Systematic literature review

الوصول الحر: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.540750Test