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Author : Daniyal Baig
Publisher :
ISBN 13 : 9783346254160
Total Pages : pages
Book Rating : 4.2/5 (541 download)
Download or read book Credit Card Fraud Detection Using Supervised Learning Algorithms written by Daniyal Baig and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : IEEE Staff
Publisher :
ISBN 13 : 9781538692967
Total Pages : pages
Book Rating : 4.6/5 (929 download)
Download or read book 2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) written by IEEE Staff and published by . This book was released on 2019-05-20 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer in Technical Systems, Intelligent Systems, Distributed Computing and Visualization Systems, Communication Systems, Information Systems Security, Digital Economy, Computers in Education, Microelectronics, Electronic Technology, Education
Author : IEEE Staff
Publisher :
ISBN 13 : 9781538670743
Total Pages : pages
Book Rating : 4.6/5 (77 download)
Download or read book 2019 18th International Symposium INFOTEH JAHORINA (INFOTEH) written by IEEE Staff and published by . This book was released on 2019-03-20 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: INFOTEH gathers the experts, scientists, engineers, researchers and students that deal with information technologies and their application in control, communication, production and electronic systems, power engineering and in other border areas
Author : Yogita Goyal
Publisher :
ISBN 13 : 9781952751424
Total Pages : 44 pages
Book Rating : 4.7/5 (514 download)
Download or read book Credit Card Fraud Detection and Analysis Through Machine Learning written by Yogita Goyal and published by . This book was released on 2020-07-28 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jawar Singh
Publisher : Springer Nature
ISBN 13 : 9811641498
Total Pages : 807 pages
Book Rating : 4.8/5 (116 download)
Download or read book Innovations in Cyber Physical Systems written by Jawar Singh and published by Springer Nature. This book was released on 2021-09-09 with total page 807 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents a collection of peer-reviewed articles from the International Conference on Innovations in Cyber Physical Systems (ICICPS 2020). The conference provided opportunities for the presentation of new research results and discussion about them. It was also an opportunity to generation of new ideas in all CPS aspects, including theory, tools, applications, systems, test-beds and field deployments. The range of topics explored is wide, and covers security, control, optimization, machine learning, game theory, mechanism design, mobile and cloud computing, model-based design, verification, data mining/analytics, signal processing, and human-in-the-loop shared or supervisory control. This book will be useful to researchers, students, industrialist, developers, and practitioners alike.
Author : Monica Bianchini
Publisher : Springer Science & Business Media
ISBN 13 : 3642040020
Total Pages : 297 pages
Book Rating : 4.6/5 (42 download)
Download or read book Innovations in Neural Information Paradigms and Applications written by Monica Bianchini and published by Springer Science & Business Media. This book was released on 2009-10-16 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tremendous advances in all disciplines including engineering, science, health care, business, avionics, management, and so on, can also be attributed to the development of artificial intelligence paradigms. In fact, researchers are always interested in desi- ing machines which can mimic the human behaviour in a limited way. Therefore, the study of neural information processing paradigms have generated great interest among researchers, in that machine learning, borrowing features from human intelligence and applying them as algorithms in a computer friendly way, involves not only Mathem- ics and Computer Science but also Biology, Psychology, Cognition and Philosophy (among many other disciplines). Generally speaking, computers are fundamentally well-suited for performing au- matic computations, based on fixed, programmed rules, i.e. in facing efficiently and reliably monotonous tasks, often extremely time-consuming from a human point of view. Nevertheless, unlike humans, computers have troubles in understanding specific situations, and adapting to new working environments. Artificial intelligence and, in particular, machine learning techniques aim at improving computers behaviour in tackling such complex tasks. On the other hand, humans have an interesting approach to problem-solving, based on abstract thought, high-level deliberative reasoning and pattern recognition. Artificial intelligence can help us understanding this process by recreating it, then potentially enabling us to enhance it beyond our current capabilities.
Author : Haoyi Cheng
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)
Download or read book Credit Card Fraud Detection Using Logistic Regression and Machine Learning Algorithms written by Haoyi Cheng and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis is focused on detecting the probability of credit card fraud occurrence according to seven relative independent variables by using logistic regression, support vector machine, decision tree, and k-NN models. The dataset provided by Dhanush Narayanan R from Kaggle contains one million of data [1]. The final goal is to compare these four models and find the most accurate model.
Author : Saad Bennani
Publisher : Springer Nature
ISBN 13 : 9813368934
Total Pages : 1139 pages
Book Rating : 4.8/5 (133 download)
Download or read book WITS 2020 written by Saad Bennani and published by Springer Nature. This book was released on 2021-07-21 with total page 1139 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents peer-reviewed articles from the 6th International Conference on Wireless Technologies, Embedded and Intelligent Systems (WITS 2020), held at Fez, Morocco. It presents original research results, new ideas and practical lessons learnt that touch on all aspects of wireless technologies, embedded and intelligent systems. WITS is an international conference that serves researchers, scholars, professionals, students and academicians looking to foster both working relationships and gain access to the latest research results. Topics covered include Telecoms & Wireless Networking Electronics & Multimedia Embedded & Intelligent Systems Renewable Energies.
Author : Rahul Goyal
Publisher :
ISBN 13 :
Total Pages : 4 pages
Book Rating : 4.:/5 (129 download)
Download or read book Review on Credit Card Fraud Detection Using Data Mining Classification Techniques & Machine Learning Algorithms written by Rahul Goyal and published by . This book was released on 2020 with total page 4 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining (DM) involves a core algorithm that enables data deeper than basic insights and knowledge. In fact, data mining is more part of knowledge discovery process. Credit card (CC) providers provide multiple cards to their customers. All credit card users must be genuine and sincere. Giving a card to any kind of mistake can lead to a financial crisis. Due to the rapid growth in cashless transactions, it is unlikely, Fake transactions can also be increased. A fraudulent transaction can be identified by studying credit cards of various behaviors as a previous transaction history data set. If there is any deviation from the available cost pattern, it is a bogus transaction. DM & machine learning techniques (MLT) are widely applied in credit card fraud detection (CCFD). In this survey paper we show an indication of various widely available DM & MLT for detecting credit card fraud.
Author : Ankur A. Patel
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492035599
Total Pages : 310 pages
Book Rating : 4.4/5 (92 download)
Download or read book Hands-On Unsupervised Learning Using Python written by Ankur A. Patel and published by "O'Reilly Media, Inc.". This book was released on 2019-02-21 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied. Unsupervised learning, on the other hand, can be applied to unlabeled datasets to discover meaningful patterns buried deep in the data, patterns that may be near impossible for humans to uncover. Author Ankur Patel shows you how to apply unsupervised learning using two simple, production-ready Python frameworks: Scikit-learn and TensorFlow using Keras. With code and hands-on examples, data scientists will identify difficult-to-find patterns in data and gain deeper business insight, detect anomalies, perform automatic feature engineering and selection, and generate synthetic datasets. All you need is programming and some machine learning experience to get started. Compare the strengths and weaknesses of the different machine learning approaches: supervised, unsupervised, and reinforcement learning Set up and manage machine learning projects end-to-end Build an anomaly detection system to catch credit card fraud Clusters users into distinct and homogeneous groups Perform semisupervised learning Develop movie recommender systems using restricted Boltzmann machines Generate synthetic images using generative adversarial networks
Author : Hariom Tatsat
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492073008
Total Pages : 432 pages
Book Rating : 4.4/5 (92 download)
Download or read book Machine Learning and Data Science Blueprints for Finance written by Hariom Tatsat and published by "O'Reilly Media, Inc.". This book was released on 2020-10-01 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry. You’ll examine ML concepts and over 20 case studies in supervised, unsupervised, and reinforcement learning, along with natural language processing (NLP). Ideal for professionals working at hedge funds, investment and retail banks, and fintech firms, this book also delves deep into portfolio management, algorithmic trading, derivative pricing, fraud detection, asset price prediction, sentiment analysis, and chatbot development. You’ll explore real-life problems faced by practitioners and learn scientifically sound solutions supported by code and examples. This book covers: Supervised learning regression-based models for trading strategies, derivative pricing, and portfolio management Supervised learning classification-based models for credit default risk prediction, fraud detection, and trading strategies Dimensionality reduction techniques with case studies in portfolio management, trading strategy, and yield curve construction Algorithms and clustering techniques for finding similar objects, with case studies in trading strategies and portfolio management Reinforcement learning models and techniques used for building trading strategies, derivatives hedging, and portfolio management NLP techniques using Python libraries such as NLTK and scikit-learn for transforming text into meaningful representations
Author : Shai Shalev-Shwartz
Publisher : Cambridge University Press
ISBN 13 : 1107057132
Total Pages : 415 pages
Book Rating : 4.1/5 (7 download)
Download or read book Understanding Machine Learning written by Shai Shalev-Shwartz and published by Cambridge University Press. This book was released on 2014-05-19 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.
Author : J. Dinesh Peter
Publisher : Springer Nature
ISBN 13 : 9811552851
Total Pages : 625 pages
Book Rating : 4.8/5 (115 download)
Download or read book Intelligence in Big Data Technologies—Beyond the Hype written by J. Dinesh Peter and published by Springer Nature. This book was released on 2020-07-25 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a compendium of the proceedings of the International Conference on Big-Data and Cloud Computing. The papers discuss the recent advances in the areas of big data analytics, data analytics in cloud, smart cities and grid, etc. This volume primarily focuses on the application of knowledge which promotes ideas for solving problems of the society through cutting-edge big-data technologies. The essays featured in this proceeding provide novel ideas that contribute for the growth of world class research and development. It will be useful to researchers in the area of advanced engineering sciences.
Author : P. Suresh
Publisher : Springer Nature
ISBN 13 : 9811550298
Total Pages : 836 pages
Book Rating : 4.8/5 (115 download)
Download or read book Advances in Smart System Technologies written by P. Suresh and published by Springer Nature. This book was released on 2020-08-29 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents select peer-reviewed proceedings of the International Conference on Frontiers in Smart Systems Technologies (ICFSST 2019). It focuses on latest research and cutting-edge technologies in smart systems and intelligent autonomous systems with advanced functionality. Comprising topics related to diverse aspects of smart technologies such as high security, reliability, miniaturization, energy consumption, and intelligent data processing, the book contains contributions from academics as well as industry. Given the range of the topics covered, this book will prove useful for students, researchers, and professionals alike.
Author : Bart Baesens
Publisher : John Wiley & Sons
ISBN 13 : 1119133122
Total Pages : 406 pages
Book Rating : 4.1/5 (191 download)
Download or read book Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques written by Bart Baesens and published by John Wiley & Sons. This book was released on 2015-08-17 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Early detection is a key factor in mitigating fraud damage, but it involves more specialized techniques than detecting fraud at the more advanced stages. This invaluable guide details both the theory and technical aspects of these techniques, and provides expert insight into streamlining implementation. Coverage includes data gathering, preprocessing, model building, and post-implementation, with comprehensive guidance on various learning techniques and the data types utilized by each. These techniques are effective for fraud detection across industry boundaries, including applications in insurance fraud, credit card fraud, anti-money laundering, healthcare fraud, telecommunications fraud, click fraud, tax evasion, and more, giving you a highly practical framework for fraud prevention. It is estimated that a typical organization loses about 5% of its revenue to fraud every year. More effective fraud detection is possible, and this book describes the various analytical techniques your organization must implement to put a stop to the revenue leak. Examine fraud patterns in historical data Utilize labeled, unlabeled, and networked data Detect fraud before the damage cascades Reduce losses, increase recovery, and tighten security The longer fraud is allowed to go on, the more harm it causes. It expands exponentially, sending ripples of damage throughout the organization, and becomes more and more complex to track, stop, and reverse. Fraud prevention relies on early and effective fraud detection, enabled by the techniques discussed here. Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques helps you stop fraud in its tracks, and eliminate the opportunities for future occurrence.
Author : G. Ranganathan
Publisher : Springer Nature
ISBN 13 : 981157345X
Total Pages : 994 pages
Book Rating : 4.8/5 (115 download)
Download or read book Inventive Communication and Computational Technologies written by G. Ranganathan and published by Springer Nature. This book was released on 2020-09-24 with total page 994 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at the 4th International Conference on Inventive Communication and Computational Technologies (ICICCT 2020), held on 28–29 May 2020 at Gnanamani College of Technology, Tamil Nadu, India. The respective contributions highlight recent research efforts and advances in a new paradigm called ISMAC (IoT in Social, Mobile, Analytics and Cloud contexts). The topics covered include the Internet of Things, Social Networks, Mobile Communications, Big Data Analytics, Bio-inspired Computing and Cloud Computing. Given its scope, the book is chiefly intended for academics and practitioners working to resolve practical issues in this area.
Author : M. Arif Wani
Publisher : Springer
ISBN 13 : 9789811567582
Total Pages : 300 pages
Book Rating : 4.5/5 (675 download)
Download or read book Deep Learning Applications, Volume 2 written by M. Arif Wani and published by Springer. This book was released on 2020-12-14 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents selected papers from the 18th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2019). It focuses on deep learning networks and their application in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and robotic control in industrial environments, and highlights novel ways of using deep neural networks to solve real-world problems. Also offering insights into deep learning architectures and algorithms, it is an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers.
