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A Hybrid Prediction System for American NFL Results

Nwachukwu E. O., Anyama Oscar Uzoma
2015 International Journal of Computer Applications Technology and Research  
This can therefore be a reference point for future research in this area especially on employing machine learning in predictions.  ...  This research work investigates the use of machine learning algorithms (Linear Regression and K-Nearest Neighbour) for NFL games result prediction.  ...  INTRODUCTION Predicting the outcome of events is of interest to many, ranging from meteorologists, to statisticians, the media, to financial experts, to economists, to clubs, to merchants, to fans, to  ... 
doi:10.7753/ijcatr0401.1008 fatcat:lnvt374bq5cp7kurozoyapekhm

A MCDM-based evaluation approach for imbalanced classification methods in Financial Risk Prediction

Yongming Song, Yi Peng
2019 IEEE Access  
Various classifiers have been proposed for financial risk prediction.  ...  An experimental study is designed to provide a comprehensive evaluation of imbalanced classifiers using the proposed evaluation approach over seven financial imbalanced data sets from the UCI Machine Learning  ...  TOPSIS, a well-known MCDM method, was applied to rank the imbalanced learning approaches.  ... 
doi:10.1109/access.2019.2924923 fatcat:mcrphlty6nel3e364uh74urghq

Comparison of data classification methods for predictive ranking of banks exposed to risk of failure

Charles A. Worrell, Shaun M. Brady, Jerzy W. Bala
2012 2012 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr)  
This comparison demonstrates that inductive machine learning techniques can be successfully applied for predictive ranking of default risk.  ...  This paper describes a study on the empirical comparison of classification techniques for predictive ranking of the 12 month risk of default in banks.  ...  Specifically, the results demonstrate that inductive machine learning techniques can be successfully applied for predictive ranking of financial risk and point to better performance of symbolic rule or  ... 
doi:10.1109/cifer.2012.6327823 dblp:conf/cifer/WorrellBB12 fatcat:qerwaejvbnfatg4bvwyzfsxdhm

Ranking critical success factor in chaos management using BSC and AHP method

Ehsan Khosravi Asil, Alireza Shahraki, Keyvan Shahgholian
2013 Management Science Letters  
For each perspective, the proposed study uses analytical hierarchy process to rank different sub-criteria.  ...  The proposed study uses balanced scorecard in terms of four different perspectives including internal process, learning and growth, customer and financial performances.  ...  Acknowledgment The authors would like to thank the officials of the electromotor builder for cordially cooperating with our team in accomplishment of this survey.  ... 
doi:10.5267/j.msl.2013.05.023 fatcat:ldxzuijbsvdhniglykdfrdbtle

Learning to Rank for Multi-step Ahead Time-Series Forecasting

Jiuding Duan, Hisashi Kashima
2021 IEEE Access  
Kashima: Learning to Rank for Multi-step Ahead Time-Series Forecasting  ...  PAIRWISE LEARNING TO RANK We formulate the multi-step time-series forecasting task as a multi-step learning-to-rank process that incorporates a learning phase and an inference phase.  ... 
doi:10.1109/access.2021.3068895 fatcat:siof4rhxv5auhmutoqu2i5mo3e

Blockchain Based Detection of Android Malware using Ranked Permissions

Siddhant Gupta, Siddharth Sethi, Srishti Chaudhary, Anshul Arora
2021 International Journal of Engineering and Advanced Technology  
We have used the concept of information value for ranking permissions.  ...  In this paper, we aim to detect Android malware using machine learning, deep learning, and natural language processing techniques.  ...  Such ranking helps in eliminating the irrelevant permissions for improving the detection accuracy. Further, we applied the machine learning and deep learning algorithms on the top-ranked permissions.  ... 
doi:10.35940/ijeat.e2593.0610521 fatcat:7cvfwdkd3bgzpmi3zo6f7rn2pi

Semeval-2017 Task 5: Fine-Grained Sentiment Analysis On Financial Microblogs And News

Keith Cortis, André Freitas, Tobias Daudert, Manuela Hürlimann, Manel Zarrouk, Siegfried Handschuh, Brian Davis
2017 Zenodo  
The main goal behind both tracks was to predict the sentiment score for each of the mentioned companies/stocks.  ...  The sentiment scores for each text instance adopted floating point values in the range of -1 (very negative/bearish) to 1 (very positive/bullish), with 0 designating neutral sentiment.  ...  Acknowledgements Horizon 2020 ICT Program Project SSIX: Social Sentiment analysis financial IndeXes, has received funding from the European Union's Horizon 2020 Research and Innovation Program ICT 2014  ... 
doi:10.5281/zenodo.1228822 fatcat:sfjgl6wblzamtf6qoai4okpfjm

SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News

Keith Cortis, André Freitas, Tobias Daudert, Manuela Huerlimann, Manel Zarrouk, Siegfried Handschuh, Brian Davis
2017 Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)  
The main goal behind both tracks was to predict the sentiment score for each of the mentioned companies/stocks.  ...  The sentiment scores for each text instance adopted floating point values in the range of -1 (very negative/bearish) to 1 (very positive/bullish), with 0 designating neutral sentiment.  ...  Acknowledgements Horizon 2020 ICT Program Project SSIX: Social Sentiment analysis financial IndeXes, has received funding from the European Union's Horizon 2020 Research and Innovation Program ICT 2014  ... 
doi:10.18653/v1/s17-2089 dblp:conf/semeval/CortisFDHZHD17 fatcat:maamda7exnfbvmkxdeqgcln6ta

A Hybrid Model for Addressing the Relationship between Financial Performance and Sustainable Development

Yanfang Zhang, Mushang Lee
2019 Sustainability  
Measuring financial performance has become an essential topic due to the potential decimating impacts on the corporation itself as well as to whole societies during financial turmoil.  ...  In order to provide an overarching description of the multidimensional nature for measuring a corporation's operations, it is preferable to employ data envelopment analysis (DEA).  ...  Sustainability 2019 ,Figure 3 . 20193 11, x FOR PEER REVIEW 11 of 15 The ranking priority of each classifier in Condition 1: the performance rank is decided by a traditional financial ratio.  ... 
doi:10.3390/su11102899 fatcat:gndeta5pffduzmkdc7x73bogs4

Do five-star hotel managers know their customers' priorities? An AHP-Prioritised scorecard study

Alessio Ishizaka, Alfred Quintano, Ashraf Labib, Alexandros Apostolakis
2019 EuroMed Journal of Business  
Twenty-four decision-choice criteria were framed within the four perspectives (financial, customer, internal process, and employee learning/growth) of the balanced scorecard.  ...  Actual and potential customers of 5-star hotels and hotel managers were asked to rank the decision-choice criteria and the balanced scorecard perspectives.  ...  A balanced scorecard includes four perspectives: financial, learning and growth, internal processes and customer perspective.  ... 
doi:10.1108/emjb-03-2018-0020 fatcat:qb5dxztt4zavhns6rz6jm5tw3m

Online and Distance Learning (ODL) and Hybrid Learning in COVID-19 era: The Effects of Pandemic to Undergraduate Students

Faiz Malaysia Ghazali
2021 International Journal of Learning and Development  
Regardless of the shock faced, education is one of the main sector where it is important and can be continued to operate completely online, and perhaps combined with face-to-face (F2F) into Hybrid Learning  ...  As a result, the factors under investigation had effects on students' motivation, interaction, communication, and online accessibility in continue enrolling to pursue their study using ODL and Hybrid Learning  ...  Acknowledgments The authors gratefully acknowledge the financial support by Universiti Teknologi MARA Segamat, Johor under grant Geran Bestari Fasa 2/2020 600-UiTMCJ (PJIA. 5/2) (August 2020 to July 2021  ... 
doi:10.5296/ijld.v11i2.18666 fatcat:546uhwpdvrcdnaj56unoku6jcm

A hybrid knowledge-based approach to supporting the medical prescription for general practitioners: Real case in a Hong Kong medical center

S.L. Ting, S.K. Kwok, Albert H.C. Tsang, W.B. Lee
2011 Knowledge-Based Systems  
By comparing the two sets of results, more refined recommendations on a range of medicines are suggested along with the ranking for each recommendation.  ...  Conclusion Even with the help of a decision support system, the current approach to anticipating what drugs are to be prescribed is not flexible enough to cater for individual preferences of GPs, and provides  ...  Also, the authors would like to express their sincere thanks to the Research Committee of the Hong Kong Polytechnic University for financial support of the research work.  ... 
doi:10.1016/j.knosys.2010.12.011 fatcat:fzhsu4d4zbdkvpwndizirb47ne

Generalized Logistic Regression Models Using Neural Network Basis Functions Applied to the Detection of Banking Crises [chapter]

P. A. Gutierrez, S. Salcedo-Sanz, M. J. Segovia-Vargas, A. Sanchis, J. A. Portilla-Figueras, F. Fernández-Navarro, C. Hervás-Martínez
2010 Lecture Notes in Computer Science  
These hybrid approaches are described in the paper, and applied to the detection and prediction of banking crises by using a large database of countries in the period 1981 to 1999.  ...  The proposed techniques are shown to perform better than other existing statistical and artificial intelligence methods for this problem.  ...  The Naive Bayes standard learning algorithm (NaiveBayes) [21] . 8. The Rough Set methodology for classification [22] .  ... 
doi:10.1007/978-3-642-13033-5_1 fatcat:gm5vzn25bndr7cpt4gviualnvy

Clinical Outcomes of Revascularization Strategies for Patients With MVD/LMCA Disease

Meng-Kan Fan, Ya-Min Su, Xing-Xing Cai, Zhou-Shan Gu, Hai-Hua Geng, Hai-Yan Pan, Jian-Hua Zhu, Min Pan
2015 Medicine  
Hybrid coronary revascularization seemed to be a feasible and acceptable option for treatment of LMCA disease and MVD.  ...  Ranking probabilities were used to calculate a summary numerical value: the surface under the cumulative ranking (SUCRA) curve.  ...  However, HCR have limitations such as operation complications, financial cost, and learning curve, which should be concerned for individual therapy.  ... 
doi:10.1097/md.0000000000001745 pmid:26496289 pmcid:PMC4620808 fatcat:nrlm3d6ejrhd7ept3ombse7nmq

Performance measurement of administration services using balance scorecard and Kano model

Abolfazl Danaei, Mohammad Hemmati, Marziye Mardani
2014 Management Science Letters  
The survey has indicated that while these offices do well in terms of financial figures as well as customer perspective, they perform poorly in terms of learning and growth.  ...  The study also uses Kano model to prioritize various factors and to provide necessary recommendation to improve the performance of different units.  ...  The study tries to study the unit in terms of four perspectives including internal processes, learning and growth, customer and financial figures.  ... 
doi:10.5267/j.msl.2014.2.022 fatcat:pz3u3qdh2vdmfgdadf7jkiivye
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