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An Information Retrieval Prototype for Research and Teaching

Christa Womser-Hacker
2020 Zenodo  
It is used to gain further insights concerning the behaviour of informa-tion retrieval systems as well as for teaching in the field of Information Sci-ence.  ...  The main issue of MIMOR is the exploitation of users' relevance feed-back in order to optimise the fusion of several retrieval engines or resources.  ...  For each cluster an individ-ual MIMOR model is developed with own weights for all participating systems. The clustering process is not restricted to algorithms based on unsupervised learning.  ... 
doi:10.5281/zenodo.4137006 fatcat:goqraeoh45egzguvxqsth4wryy

Using a Capability Maturity Model to build on the generational approach to student engagement practices

K. Nelson, J. Clarke, I. Stoodley, T. Creagh
2014 Higher Education Research and Development  
Using a maturity model to move student engagement practices beyond the generational approach. In  ...  The views in this publication do not necessarily reflect the views of the Australian Government Office for Learning and Teaching.  ...  Acknowledgement Support for this publication has been provided by the Australian Government Office for Learning and Teaching.  ... 
doi:10.1080/07294360.2014.956694 fatcat:6foom7doxjdyzlvutwbu6koply

Bound Model of Clustering and Classification (BMCC) for Proficient Performance Prediction of Didactical Outcomes of Students

Anoopkumar M, A. M.
2018 International Journal of Advanced Computer Science and Applications  
An efficient J48 decision tree algorithm is used for classification and the kmeans algorithm is incorporated for clustering here and is optimised with Bootstrap Aggregation (Bagging).  ...  As it is known, Classification and Clustering are the liveliest techniques in mining the required data.  ...  WEKA tool has been used for the implementation and examination of classification techniques such as Rule-based classification, Naive Bayes and Decision Tree [17] .  ... 
doi:10.14569/ijacsa.2018.091133 fatcat:idqkkv5idnfaroco2axtlwg5qu

Teaching IR: Curricular Considerations [chapter]

Daniel Blank, Norbert Fuhr, Andreas Henrich, Thomas Mandl, Thomas Rölleke, Hinrich Schütze, Benno Stein
2011 Teaching and Learning in Information Retrieval  
learning techniques.  ...  Data Mining and Machine Learning for IR Classification methods and data mining techniques like clustering-which we will jointly refer to as "machine learning"-were originally a neglected part of the information  ... 
doi:10.1007/978-3-642-22511-6_3 fatcat:olbv6gwlt5d6vpj76fkyjxzu5a

Lecturer Readiness for Online Classes during the Pandemic: A Survey Research

Kasiyah Junus, Harry Budi Santoso, Panca Oktavia Hadi Putra, Arfive Gandhi, Titin Siswantining
2021 Education Sciences  
Their sufficiency for teaching online courses was not optimised since they did not fully believe the learning goals could be achieved.  ...  The results show that lecturers have strong baseline technical skills to use e-learning platforms for online courses; they have quickly adapted to using a Learning Management System (LMS), and most have  ...  This research captured meaningful statements by lecturers by using codification. Tagging was used to count, and cluster responses based on their similarity.  ... 
doi:10.3390/educsci11030139 fatcat:6y3gi7u465grveehg6zt5du25e

SVM &Ga-clustering Based Feature Selection Approach for Breast Cancer Detection

Rashmi Priya, Syed Wajahat Abbas Rizvi
2020 International Journal on Soft Computing Artificial Intelligence and Applications  
Several clinical breast cancer studies were conducted using soft computing and machine learning techniques. Sometimes their algorithms are easier, easier, or more comprehensive than others.  ...  In this experiment, we equate four Weka clustering strategies with genetic clustering. A comparison of results reveals that sequential minimal optimization (S.M.O.) is better than I.B.K. and B.F.  ...  Classifier results are used to assess the goodness of the specified feature or attribute.  ... 
doi:10.5121/ijscai.2020.9401 fatcat:bwsqedcd3rhgdjxtwpbe5kznom

Clustering analysis of learning style on anggana high school student

Siti Lailiyah, Ekawati Yulsilviana, Reza Andrea
2019 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
The purpose was to know the effectiveness of this learning style cluster on the development of absorptive power and improving student achievement.  ...  The method used to cluster the learning style with data mining process starts from the data cleaning stage, data selection, data transformation, data mining, pattern evolution, and knowledge development  ...  (ARKFCM)-based segmentation techniques for accurate delineation of tumour using clinical brain tumour Magnetic Resonance images.  ... 
doi:10.12928/telkomnika.v17i3.9101 fatcat:jey46mpxzzdltjsbteqcjfcrui

Masterprof: A program to educate Teachers for the Knowledge Society

Florence Mihaela Singer, Ligia Sarivan
2011 Procedia - Social and Behavioral Sciences  
Keywords: research partnership; curriculum for teacher education; blended learning; meaningful assessment; interactive methodology, learning community In search of adequate teacher education solutions  ...  Therefore, Masterprof benefits from a flexible competence-based curriculum that is implemented via an interactive approach within a blended learning system.  ...  Thus, domain specific training techniques were used within the teaching of the specific didactics.  ... 
doi:10.1016/j.sbspro.2011.01.023 fatcat:n3b6adipkrfnvgzixzmpzeewne

An integrated clustering method for pedagogical performance

Raed A. Said, Kassim S. Mwitondi
2021 Array  
Its application context combines mechanics of machine learning techniques with underlying pedagogical domain knowledge-unifying the narratives of data scientists and educationists in searching for potentially  ...  We explain how the findings of this paper present not only continuity of on-going clustering optimisation, but also an intriguing starting point for interdisciplinary discussions aimed at enhancement of  ...  Data-driven investigations into aspects of teaching, learning and assessment have attracted interests of many researchers and professionals, not least educationists and data analysts for many years.  ... 
doi:10.1016/j.array.2021.100064 fatcat:7koxy7345nbhhncer4feyqci44

SVM &GA-CLUSTERING BASED FEATURE SELECTION APPROACH FOR BREAST CANCER DETECTION

Dr. Rashmi Priya1 And Syed Wajahat2
2020 Zenodo  
Several clinical breast cancer studies were conducted using soft computing and machine learning techniques. Sometimes their algorithms are easier, easier, or more comprehensive than others.  ...  In this experiment, we equate four Weka clustering strategies with genetic clustering. A comparison of results reveals that sequential minimal optimization (S.M.O.) is better than I.B.K. and B.F.  ...  Classifier results are used to assess the goodness of the specified feature or attribute.  ... 
doi:10.5281/zenodo.4304225 fatcat:smtadnxxtbfodnywfmdbcpfoli

Knowledge Management Toolbox: Machine Learning for Cognitive Radio Networks

Vera Stavroulaki, Aimilia Bantouna, Yiouli Kritikou, Kostas Tsagkaris, Panagiotis Demestichas, Pol Blasco, Faouzi Bader, Mischa Dohler, Daniel Denkovski, Vladimir Atanasovski, Liljana Gavrilovska, Klaus Moessner
2012 IEEE Vehicular Technology Magazine  
This paper provides a synopsis of basic learning functionalities and relevant requirements for the collection and processing of information that can lead to exploitable knowledge.  ...  The paper also provides an overview of potential implementation approaches for these functionalities that exploit diverse machine learning techniques.  ...  Acknowledgement This work supports training activities in the context of the ACROPOLIS (Advanced coexistence technologies for Radio Optimisation in Licensed and Unlicensed Spectrum -Network of Excellence  ... 
doi:10.1109/mvt.2012.2190196 fatcat:b4ogv3i55ngpbkb6ibtst6fkxe

A Process Oriented Design Pedagogy: KFUPM Sophomore Studio

Ashraf M Salama
2005 CEBE Transactions  
However, theorists, academics, and researchers voiced the opinion that most design studio teaching continues to provide students with little understanding of the value of design as a technique, a process  ...  This paper argues for a process oriented design pedagogy by outlining an assessment of traditional teaching practices and by introducing a model that advocates the view that the process and the product  ...  The paper has presented an overview assessment of traditional studio teaching practices based on content analysis and literature review.  ... 
doi:10.11120/tran.2005.02020016 fatcat:ohciqcchv5eajalsytc6aboawq

An optimised Multivariable Regression model for Predictive Analysis of Diabetic Disease Progression

V.K. Daliya, T.K. Ramesh, Seok-Bum Ko
2021 IEEE Access  
The use of machine learning in predictive analysis, data clustering and reinforcement learning is well known.  ...  Based on the preprocessing techniques, validation approach and class of machine learning algorithm used, these data are categorized into rows and columns.  ... 
doi:10.1109/access.2021.3096139 fatcat:mpxtk7jabrgjxjpojnouxgeh34

Features Subset Selection using Improved Teaching Learning based Optimisation (ITLBO) Algorithms for Iris Recognition

C. Raghavendra, A. Kumaravel, S. Sivasuramanyan
2017 Indian Journal of Science and Technology  
Methods/Statistical Analysis: In this paper, we propose an iris recognition method in light of Teaching Learning Based Optimisation (ITLBO) to choose the ideal components subset.  ...  Findings: Feature selection scheme is used to identify the most important and irrelevant features from extracted features set of a relatively high dimension based on some selection criterions.  ...  Feature extraction and a feature optimisation is a basic area of research in the field of iris recognition framework.  ... 
doi:10.17485/ijst/2017/v10i34/118307 fatcat:wbh635qwkbc4vfxu5socnnxw6e

Growing Importance of Machine Learning in Compliance and Regulatory Reporting

Dhrubajyoti Dey
2017 European Journal of Multidisciplinary Studies  
In this paper we will take a examine the role of Machine learning in Financial sector  ...  Machine Learning is unquestionably one of the most exciting technology fields in the world today.  ...  Clustering is basically grouping a set of data examples so that examples in one group (or one cluster) are more similar (according to some criteria) than those in other groups.  ... 
doi:10.26417/ejms.v6i2.p255-258 fatcat:c6qs4rxkhvdtfdkr6phqtcsvwm
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