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  • 1
    Online Resource
    Online Resource
    Aalborg : River Publishers
    UID:
    (DE-627)867449195
    Format: 1 Online-Ressource (127 p)
    Edition: Online-Ausg.
    ISBN: 9788793379312
    Series Statement: River Publishers Series in Information Science and Technology
    Content: Cover -- Half Titlle page -- River Publishers Series Page -- Title Page - Educational Data Mining with R and Rattle -- Copyright Page -- Contents -- Foreword -- Preface -- Acknowledgment -- List of Figures -- List of Tables -- List of Abbreviations -- Chapter 1 - Introduction -- 1.1 Introduction -- 1.2 Data Mining -- 1.2.1 System Architecture -- 1.2.2 Mining Process -- 1.2.3 Functions and Products -- 1.2.4 Significance and Applications -- 1.3 Educational Data Mining-An Area under the Umbrella of Data Mining -- 1.3.1 EDMTasks -- 1.3.2 Techniques -- 1.4 Research Problem
    Content: 1.4.1 Research Motivation -- 1.4.2 Problem Statement -- 1.4.3 Objectives -- 1.5 R Data Mining Tool -- 1.5.1 R Installation -- 1.5.2 R Mining -- 1.6 Rattle Data Mining Tool -- 1.6.1 Rattle Installation -- 1.6.2 Loading Rattle Package -- 1.7 Reason for R and Rattle -- Chapter 2 - Emerging Research Directions in Educational Data Mining -- 2.1 Introduction -- 2.2 Prior Art Vis-à-vis of Research -- 2.2.1 Educational Data Mining -- 2.2.2 Data Mining Using R -- 2.2.3 Mining Students' Academic Performance -- 2.2.4 Factors Affecting on Students' Academic Performance
    Content: 2.2.5 Evaluation of Student Performance -- 2.2.6 Knowledge Management System -- 2.2.7 Placement Chance Prediction -- 2.2.8 Mining Association Rules in Student's Data -- 2.2.9 Clustering Data Mining -- 2.2.10 Prediction for Student's Performance Using Classification Method -- 2.2.11 Classification Techniques -- 2.2.12 Educational Data Mining Model Using Rattle -- 2.3 Conclusion -- Chapter 3 - Design Aspects and Developmental Framework of the System -- 3.1 Introduction -- 3.2 EDM Phases and Research Framework -- 3.3 Methods of Educational Data Mining -- 3.4 Algorithms and Tools
    Content: 3.5 Data Mining Process -- 3.5.1 Data Collection -- 3.5.2 Data Preprocessing and Transformation -- 3.5.3 R Packages and Functions for Data Mining -- 3.5.4 Result Evaluation and Knowledge Presentation -- 3.6 Working with Data -- 3.7 Research Methodology -- 3.8 Loading and Exploring Data-Exploratory Data Analysis -- 3.9 Interactive Graphics and Data Visualization -- 3.10 Conclusion -- Chapter 4 - Model Development-Building Classifiers -- 4.1 Introduction-Descriptive and Predictive Analytics -- 4.2 Predictive Analytics -- 4.3 Dataset and Class Labels -- 4.4 Classification Framework and Process
    Content: 4.5 Predicting Students' Performance -- 4.6 Classification and Predictive Modeling in R and Rattle -- 4.7 Decision Tree Modeling -- 4.7.1 Decision Tree Implementation in R -- 4.7.2 Decision Tree in Rattle -- 4.8 Artificial Neural Network Classifier -- 4.9 Naive Bayes Classifier -- 4.10 Random Forest Modeling -- 4.10.1 Random Forest Model in R -- 4.10.2 Random Forest Implementation in Rattle -- 4.11 Model Selection and Deployment -- 4.11.1 Model Evaluation in R -- 4.11.2 Model Evaluation in Rattle -- 4.12 Conclusion -- Chapter 5 - Educational Data Analysis: Clustering Approach -- 5.1 Introduction
    Content: 5.2 Clustering in Educational Data Mining
    Note: Description based upon print version of record
    Additional Edition: 9788793379305
    Additional Edition: 9788793379312
    Additional Edition: Print version Kamath, R.S Educational Data Mining with R and Rattle Aalborg : River Publishers,c2016 9788793379312
    Language: English
    Keywords: Electronic books
    URL: Volltext  (lizenzpflichtig)
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  • 2
    Book
    Book
    Mumbayi : Kannaḍa Adhyayana Vibhāga, Mumbayi Viśvavidyālaya
    UID:
    (DE-627)1142205134
    Format: XVI, 131 S. , Ill.
    Note: In Kannada-Schr., Kanares
    Language: Kannada
    Keywords: Karnataka ; Bildungswesen ; Geschichte
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  • 3
    UID:
    (DE-603)387008543
    Format: 127 pages
    Edition: Online-Ausg. Online-Ressource ISBN 9788793379305
    Edition: ISBN 9788793379312
    Edition: [Online-Ausg.]
    ISBN: 9788793379312 , 9788793379305 (Sekundärausgabe) , 9788793379312 (Sekundärausgabe)
    Series Statement: River Publishers Series in Information Science and Technology
    Note: Online-Ausg.:
    Language: English
    Keywords: Online-Publikation
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  • 4
    UID:
    (DE-627)1632532727
    Format: VI, 194 S.
    ISBN: 8170030811
    Note: Contributed articles
    Language: English
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  • 5
    UID:
    (DE-627)86628401X
    Format: xix, 106 Seiten , Diagramme
    ISBN: 9788793379312
    Series Statement: River Publishers series in information science and technology Volume 21
    Additional Edition: 9788793379305
    Language: English
    Keywords: Data Mining ; Evaluation ; Studium ; R
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  • 6
    UID:
    (DE-627)1700021478
    ISBN: 9781510897311
    In: System Dynamics Society (37. : 2019 : Albuquerque, NM), Record of the 37th International Conference of the System Dynamics Society 2019, Red Hook, NY : Curran Associates, Inc., 2020, (2020), Seite 238-238, 9781510897311
    In: year:2020
    In: pages:238-238
    Language: English
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  • 7
    UID:
    (DE-627)1836901550
    Format: 1 Online-Ressource (24 p)
    Content: We investigate the nexus between developments in financial intermediation with the growth in capital market activity and implications for the retail investors in India, over the post-liberalization period ranging 1993-2004. The estimations using unrestricted VAR based on error correction models, both in the short term and the long term models illustrate the short run relationship the time-series properties of stock market development and the new information age nexus. The coherent picture which emerges from Granger-causality test based on vector error correction model (VECM) further reveals that in the long run, stock market development Granger-causes financial infrastructural growth. Our findings suggest that the evolution of financial sector and in particular the stock market tends to, or is more likely to stimulate and promote economic growth when monetary authorities adopt liberalized investment and openness policies, improve the size of the market and the de-regulate the stock market intone with the objectives of macroeconomic stability. This study provides robust empirical evidence in favor of finance-led growth hypothesis for the Indian economy
    Note: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments July 14, 2007 erstellt
    Language: English
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  • 8
    UID:
    (DE-627)1792855168
    Format: 1 Online-Ressource (30 p)
    Content: The paper attempts to analyze the fairly large primary data (N=232) gathered from responses to 57 statements on ethical issues in accounting disclosure practices and governance administered on accountants including professionals, and accounting educators as well. Seven different factors emerging from respondent's acceptability of statements are identified by using Principal Component Method and further verified and tested by Confirmatory Factor Analysis and the Eigen Values. The test for Internal Consistency (Cronbach's alpha) and Inter-rater Reliability (ICC2 test) of our instrument mirrors the appropriateness and reasonability of this exploratory research. The tests for sampling adequacy and for sphericity also find good evidence for the discriminant validity of the scales and relationship strength between variables. The perceived concerns over accounting profession and their sensitivity on ethics in accounting are measured across both groups using the non parametric Levene's test for differences. Lastly the respondent demographics as potential predictors of ethical perceptions are investigated through an empirical estimation of Ordered Probit Model. To our best knowledge, we add a systematic empirical input for the first time in Indian context on ethical aspects of accounting disclosure and governance
    Note: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments January 25, 2012 erstellt
    Language: English
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  • 9
    UID:
    (DE-627)1792857861
    Format: 1 Online-Ressource (11 p)
    Content: The duty of preparation and the extent of "fairness" in accounting data are a corporate responsibility. Companies today are becoming more aware of ethical programs and practices in accounting and reporting that have hitherto been considered as softer sides of doing business. The paper deliberates on various ethical governance issues in accounting and reporting including the development of ethical thought, critical issues involved and the expected responses from the stakeholders in resolving ethical dilemmas. The accountant in today's world are expected to enhance their value addition through every role he performs and thereby rise to the expectations of the public, because the integrity of an accountant is cornerstone of sound accounting and reporting practices
    Note: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments January 18, 2012 erstellt
    Language: English
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  • 10
    UID:
    (DE-627)1790394716
    Format: 1 Online-Ressource (12 p)
    Content: Web mediated crowd funding is a talented paradigm used by project launcher to solicit funds from backers to realize projects. Kickstarter is one such largest funding platform for creative projects. However, not all the campaigns in Kickstarter attain their funding goal and are successful. It is therefore important to know about campaigns' chances of success. As a broad goal, authors intended in extraction of the hidden knowledge from the Kickstarter campaign database and classification of these projects based on their dependency parameters. For this authors have designed a classification model for the analysis of Kickstarter campaigns by using direct information retrieved from Kickstarter URLs. This aids to identify the possibility of success of a campaign
    Note: In: International Journal of Information Technology, Modeling and Computing (IJITMC) Vol. 4, No.1, February 2016 , Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments 2016 erstellt
    Language: English
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