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Predicting Churn: How Multilayer Perceptron Method Can Help with Customer Retention in Telecom Industry

IOP Conference Series: Materials Science and engineering 2020年第1期864卷

作者： NNA Sjarif NF Azmi HM Sarkan SM Sam MZ Osman Advanced Informatics Department Razak Faculty of Technology and Informatics Universiti Teknologi Malaysia Jalan Sultan Yahya Petra 54100 Kuala Lumpur Malaysia Soft Computing Research & Intelligent System Group (SPINT) Faculty of Systems Computer & Software Engineering Universiti Malaysia Pahang Lebuhraya Tun Razak 26300 Gambang Pahang Malaysia

Customer churn prediction has been used widely in various kind of domain especially subscription-basis industries. With the rapid growth of telecommunication industry over the last decade, this industry not only focuses on providing numerous products, but also satisfying the customers as it is one of the key solutions to remain competitive. This research proposed MultiLayer Perceptron Method for churn prediction. The evaluation is compared with three classifiers which includes are Support Vector Machine, Naïve Bayes and Decision Tree in term of several aspects. In preprocessing phase, we employed Principal Component Analysis and normalization to find the correlation among all the variables. For the postprocessing, InfoGainAttribute is used to identify the highest factor attribute that leads to customer retention. It is found that MultiLayer Perceptron outperforms other classifiers and international plan plays important role to retain customer from leaving organization.

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Correction to: Type 2 Diabetes with Artificial Intelligence Machine Learning: Methods and Evaluation

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Archives of Computational Methods in engineering 2021年第7期28卷 5039-5039页

作者： Ismail, Leila Materwala, Huned Tayefi, Maryam Ngo, Phuong Karduck, Achim P. Intelligent Distributed Computing and Systems Research Laboratory Department of Computer Science and Software Engineering College of Information Technology United Arab Emirates University Al Ain Abu Dhabi United Arab Emirates National Water and Energy Center United Arab Emirates University Al Ain Abu Dhabi United Arab Emirates Norwegian Centre for E-Health Research Tromsø Norway Faculty of Informatics Furtwangen University Furtwangen Germany

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Preface

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CEUR Workshop Proceedings 2022年 3091卷

作者： Kovalev, Igor Semenkin, Eugene Schwenker, Friedhelm Shaidurov, Vladimir Ganchev, Todor Škraba, Andrej Stanimirović, Predrag Kolehmainen, Mikko Kronberger, Gabriel Affenzeller, Michael Brester, Christina Ryzhikov, Ivan Kazakovtsev, Lev Sopov, Evgenii Semenkina, Maria Akhmedova, Shakhnaz Stanovov, Vladimir Krasnoyarsk Regional Science and Technology City Hall Department of Computer Science of Siberian Federal University Krasnoyarsk Russia Siberian Institute of Applied System Analysis named after A.N. Antamoshkin The Department ofsystem analysis and operations research of Reshetnev University Krasnoyarsk Russia Institute of Neural Information Processing Ulm University Ulm Germany The Institute of Computational Modeling SB RAS Krasnoyarsk Russia Technical University of Varna Varna Bulgaria University of Maribor UM Faculty of Organizational Sciences Cybernetics and Decision Support Systems Laboratory Slovenia Department of Computer Science Niš Serbia Department of Environmental and Biological Sciences Environmental Informatics University of Eastern Finland Kuopio Finland University of Applied Sciences Upper Austria Hagenberg Austria Department of Software Engineering School of Informatics Communications and Media University of Applied Sciences Upper Austria Hagenberg Austria University of Eastern Finland UEF · Department of Environmental Science Kuopio Finland The Department of Systems Analysis Reshetnev University of Science and Technology Krasnoyarsk Russia Siberian Institute of Applied System Analysis Krasnoyarsk Russia University of Applied Sciences Upper Austria and Softwarepark Hagenberg Austria Reshetnev Siberian States University of Science and Technology Siberian Institute of Applied System Analysis Krasnoyarsk Russia SibSAU · Institute of computer science and telecommunications Krasnoyarsk Russia

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The Carbon Footprint of Bitcoin

SSRN

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SSRN 2019年

作者： Stoll, Christian Klaaßen, Lena Gallersdörfer, Ulrich MIT Center for Energy and Environmental Policy Research Massachusetts Institute of Technology CambridgeMA02139 United States TUM Center for Energy Markets TUM School of Management Technical University of Munich Germany TUM School of Management Technical University of Munich Germany TUM Software Engineering for Business Information Systems Department of Informatics Technical University of Munich Germany

Participation in the Bitcoin blockchain validation process requires specialized hardware and vast amounts of electricity, which translate into a significant carbon footprint. Here we demonstrate a methodology for estimating the power consumption associated with Bitcoin’s blockchain based on IPO filings of major hardware manufacturers, insights on mining facility operations, and mining pool compositions. We then translate our power consumption estimate into carbon emissions, using the localization of IP-addresses. We determine the annual electricity consumption of Bitcoin, as of November 2018, to be 48.2 TWh, and estimate that annual carbon emissions range from 23.6 to 28.8 MtCO2. This means that the level of emissions produced by Bitcoin sits between the levels produced by the nations of Jordan and Mongolia. With this article, we aim to gauge the external costs of Bitcoin, and inform the broader debate on the costs and benefits of cryptocurrencies. The externalities we discuss here may help policy-makers in setting the right rules as the adoption journey of blockchain has just started. © 2019, The Authors. All rights reserved.

关键词： Blockchain

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Computational representation for a simulation scenario definition language

Computational representation for a simulation scenario defin...

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AIAA Modeling and Simulation Technologies Conference, 2018

作者： Durak, Umut Jafer, Shafagh Wittman, Rob Mittal, Saurabh Hartmann, Sven Zeigler, Bernard P. Institute of Flight Systems Braunschweig38108 Germany Embry-Riddle Aeronautical University Daytona BeachFL32114-3900 United States The MITRE Corporation McLean VA22102 United States Clausthal University of Technology Clausthal-Zellerfeld38678 Germany RTSync Corp. and Arizona Center for Integrated M&S TucsonAZ85621 United States Flight Dynamics and Simulation Department of Electrical Computer Software and Systems Engineering Department Head Simulation Experimentation and Gaming Architecture Analytics Department Department of Informatics Department of Electrical and Computing Engineering

ISBN: (数字)9781624105289

ISBN: (纸本)9781624105289

The modeling and simulation community in aviation is in search of standardization in simulation scenario definition. While the System Entity Structure (SES) ontology promises an effective formal means of domain modeling, computational representation is still a key challenge to tackle for fostering wide-acceptance and standardization. This paper presents an eXtended Markup Language (XML) based approach. It first gives the relational specification and the schema definition of the SES ontology. Following a layered modeling workflow, it then presents a schema definition for the simulation scenario definition language and exemplifies its utilization. © 2018, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Standardization

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Reinforcement learning meets minority game: Toward optimal resource allocation

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Physical Review E 2019年第3期99卷 032302-032302页

作者： Si-Ping Zhang Jia-Qi Dong Li Liu Zi-Gang Huang Liang Huang Ying-Cheng Lai The Key Laboratory of Biomedical Information Engineering of Ministry of Education The Key Laboratory of Neuro-informatics & Rehabilitation Engineering of Ministry of Civil Affairs and Institute of Health and Rehabilitation Science School of Life Science and Technology Xi'an Jiaotong University Xi'an 710049 China Institute of Computational Physics and Complex Systems Lanzhou University Lanzhou 730000 China Institute of Theoretical Physics Key Laboratory of Theoretical Physics Chinese Academy of Sciences P.O. Box 2735 Beijing 100190 China School of Software Engineering Chongqing University Chongqing 400044 People's Republic of China School of Electrical Computer and Energy Engineering Department of Physics Arizona State University Tempe Arizona 85287 USA

The main point of this paper is to provide an affirmative answer through exploiting reinforcement learning (RL) in artificial intelligence (AI) for eliminating herding without any external control in complex resource allocation systems. In particular, we demonstrate that when agents are empowered with RL (e.g., the popular Q-learning algorithm in AI) in that they get familiar with the unknown game environment gradually and attempt to deliver the optimal actions to maximize the payoff, herding can effectively be eliminated. Furthermore, computations reveal the striking phenomenon that, regardless of the initial state, the system evolves persistently and relentlessly toward the optimal state in which all resources are used efficiently. However, the evolution process is not without interruptions: there are large fluctuations that occur but only intermittently in time. The statistical distribution of the time between two successive fluctuating events is found to depend on the parity of the evolution, i.e., whether the number of time steps in between is odd or even. We develop a physical analysis and derive mean-field equations to gain an understanding of these phenomena. Since AI is becoming increasingly widespread, we expect our RL empowered minority game system to have broad applications.

关键词： Collective dynamics Competition Self-organized systems Mean field theory

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Analysis of information security issues in corporate computer networks

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IOP Conference Series: Materials Science and engineering 2021年第1期1047卷

作者： E A Lavrov A L Zolkin T G Aygumov M S Chistyakov I V Akhmetov Computer science department Sumy State University Rymskogo-Korsakova Street 2 Sumy 40007 Ukraine Computer and Information Sciences Department Povolzhskiy State University of Telecommunications and Informatics L.Tolstogo Street 23 Samara 443010 Russia Department of computer engineering software and automated systems Dagestan State Technical University I. Shamyl Street 70 Makhachkala 367000 Russia Economics and finances department Financial University under the Government of the Russian Federation (Vladimir branch) Tikhonravova st. 1 Vladimir 600037 Russia Department of digital technologies and modeling Ufa State Petroleum Technological University Kosmonavtov Street 1 Ufa 450062 Russia

This article discusses the main problems associated with information security in corporate networks and ensuring the reliable operation of information systems and the services they provide. Information security is understood as the security of information resources and information systems, as well as the supporting infrastructure from accidental or deliberate influences of a natural or artificial nature, fraught with harm to the owners or users of information resources. Currently, there are major changes in information security issues. They relate to the methods of work of attackers, the conditions of crimes commited in the computer sphere, as well as the consequences of illegal activities.

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Secure Beamforming Design for MISO SWIPT systems: An Indirectly Optimized Approach

Secure Beamforming Design for MISO SWIPT Systems: An Indirec...

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2019 IEEE Global Communications Conference (GLOBECOM)

作者： Yao Yu Siyu Wang Shumei Liu Lei Guo Zhaolong Ning Shimin Gong Mohammad S. Obaidat School of Computer Science and Engineering Northeastern University Shenyang China Chongqing University of Posts and Telecommunications China State Key Laboratory for Novel Software Technology Nanjing University China School of Intelligent Systems Engineering Sun Yat-sen University China ECE Department Nazarbayev University Astana Kazakhstan College of Computing and Informatics University of Sharjah UAE The King Abdullah II School of Information Technology The University of Jordan Amman Jordan University of Science and Technology Beijing China

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

By considering the Simultaneous Wireless Information and Power Transfer (SWIPT) schemes, this paper focuses on secure transmission model design in multiple-input-single-output (MISO) channels. In these channels, the channel state information is assumed to be perfect. Our objective is to maximize the worst-case secrecy rate with respect to both potential eavesdroppers and obvious eavesdroppers under the constraints of energy-harvesting and total transmission power. We present an optimization model to indirectly obtain maximum security rate in a single receiver system. Due to the high computational complexity of the solution process caused by the formulated non-convex optimization problem, we propose a novel indirect method to handle this issue. Then, a Semi-Definite Programming (SDP) relaxation method is used to approach the optimal solution. Moreover, we reveal the conditions for ensuring that the above semi-definite relaxation is compact. Simulation results demonstrate that the gained performance in our system is much better than those of the existing competing schemes.

关键词： Receivers Interference Signal to noise ratio Transmitters Optimization Security Communication system security

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Correction to: Development and Validation of a Colorectal Cancer Prediction Model: A Nationwide Cohort‑Based Study

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Digestive diseases and sciences 2025年第3期70卷 1250页

作者： Ofer Isakov Dan Riesel Michael Leshchinsky Galit Shaham Ben Y Reis Dan Keret Zohar Levi Baruch Brenner Ran Balicer Noa Dagan Samah Hayek Innovation Division Clalit Research Institute Clalit Health Services Tel Aviv Israel. Department of Biomedical Informatics Harvard Medical School Boston MA USA. The Ivan and Francesca Berkowitz Family Living Laboratory Collaboration at Harvard Medical School and Clalit Research Institute Boston MA USA. Predictive Medicine Group Boston Children's Hospital Boston MA USA. Harvard Medical School Boston MA USA. Gastroenterology and Hepatology Department Clalit Health Services Jerusalem Israel. Department of Gastroenterology Beilinson Medical Center Faculty of Medicine Tel Aviv University Tel Aviv Israel. Institute of Oncology Davidoff Cancer Center Rabin Medical Center Beilinson Campus Petah Tikva Israel. Faculty of Medicine Tel Aviv University Tel Aviv Israel. School of Public Health Faculty of Health Sciences Ben Gurion University of the Negev Be'er Sheva Israel. Software and Information Systems Engineering Ben Gurion University of the Negev Be'er Sheva Israel. Innovation Division Clalit Research Institute Clalit Health Services Tel Aviv Israel. Samahhayek@tauex.tau.ac.il. Department of Epidemiology and Preventive Medicine School of Public Health Faculty of Medicine Tel Aviv University Tel Aviv Israel. Samahhayek@tauex.tau.ac.il.

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DT4RE: Design Thinking for Requirements engineering: A Tutorial on Human-Centered and Structured Requirements Elicitation

DT4RE: Design Thinking for Requirements Engineering: A Tutor...

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IEEE International Conference on Requirements engineering

作者： Jennifer Hehn Falk Uebernickel Daniel Mendez Fernandez University of St.Gallen Institute of Information Management St. Gallen Switzerland University of Saint Gallen Sankt Gallen SG CH Department of Informatics Software & Systems Engineering Garching Germany

This tutorial presents Design Thinking as a promising approach to creatively elicit human-centered requirements for software-intensive systems. Specifically, it contributes to Requirements engineering practices by structuring the fuzzy process of developing creative and innovative ideas. The tutorial should be seen as a forum for the interchange of experience and learnings from combining both approaches and should raise awareness for the importance of human-centered methods and experimentation in early phases of software engineering. After the tutorial, the participants get access to all materials, templates, and methods on our website for further usage.

关键词： Requirements engineering Tutorials Technological innovation Information management software engineering software Conferences

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