Behavioral Pattern Prediction For Stream Based Data
DOWNLOAD
Download Behavioral Pattern Prediction For Stream Based Data PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Behavioral Pattern Prediction For Stream Based Data book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Behavioral Pattern Prediction For Stream Based Data
DOWNLOAD
Author : Sheikh Muhammad Qumruzzaman
language : en
Publisher:
Release Date : 2013
Behavioral Pattern Prediction For Stream Based Data written by Sheikh Muhammad Qumruzzaman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Behavior analysts categories.
Behavioral pattern prediction has many applications, ranging from consumer buying behavior analysis, web surfing prediction to network attack prediction. The traditional behavioral pattern prediction technique works mainly on a fixed dataset. But recent advances in digital technology generates a huge amount of data which contributes to data stream. Data evolves over time due to the concept drift. Stream-based classification also needs to evolve over time. Our goal is not to predict a single action/behavior, but a sequence of actions that can occur later depending on the previous actions. We call this problem "Behavioral Pattern Extrapolation". In our research, we exploited a stream mining based technique along with markovian model, where we used an incremental and ensemble based technique for predicting a set of future actions. We have experimented using a number of benchmark datasets and shown the effectiveness of our approach.
Predicting Malicious Behavior
DOWNLOAD
Author : Gary M. Jackson
language : en
Publisher: John Wiley & Sons
Release Date : 2012-05-25
Predicting Malicious Behavior written by Gary M. Jackson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-05-25 with Computers categories.
A groundbreaking exploration of how to identify and fight security threats at every level This revolutionary book combines real-world security scenarios with actual tools to predict and prevent incidents of terrorism, network hacking, individual criminal behavior, and more. Written by an expert with intelligence officer experience who invented the technology, it explores the keys to understanding the dark side of human nature, various types of security threats (current and potential), and how to construct a methodology to predict and combat malicious behavior. The companion CD demonstrates available detection and prediction systems and presents a walkthrough on how to conduct a predictive analysis that highlights proactive security measures. Guides you through the process of predicting malicious behavior, using real world examples and how malicious behavior may be prevented in the future Illustrates ways to understand malicious intent, dissect behavior, and apply the available tools and methods for enhancing security Covers the methodology for predicting malicious behavior, how to apply a predictive methodology, and tools for predicting the likelihood of domestic and global threats CD includes a series of walkthroughs demonstrating how to obtain a predictive analysis and how to use various available tools, including Automated Behavior Analysis Predicting Malicious Behavior fuses the behavioral and computer sciences to enlighten anyone concerned with security and to aid professionals in keeping our world safer.
Computational Modeling Of Objects Represented In Images
DOWNLOAD
Author : Reneta P. Barneva
language : en
Publisher: Springer
Release Date : 2010-04-21
Computational Modeling Of Objects Represented In Images written by Reneta P. Barneva and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-04-21 with Computers categories.
This volume constitutes the refereed proceedings of the International Symposium "Computational Modeling of Objects Represented in Images. Fundamentals, Methods and Applications", CompIMAGE 2010, held in Buffalo, NY, in May 2010. The 28 revised full papers presented were carefully reviewed and selected from 77 submissions. They are organized in topical sections on theoretical foundations of image analysis and processing; methods and applications on medical imaging, bioimaging, biometrics, and imaging in material sciences, as well as methods and applications on image reconstruction, computed tomography, and other applications.
Nutrient Criteria Technical Guidance Manual
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 2000
Nutrient Criteria Technical Guidance Manual written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Eutrophication categories.
Machine Learning For Data Streams
DOWNLOAD
Author : Albert Bifet
language : en
Publisher: MIT Press
Release Date : 2018-03-16
Machine Learning For Data Streams written by Albert Bifet and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-16 with Computers categories.
A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework. Today many information sources—including sensor networks, financial markets, social networks, and healthcare monitoring—are so-called data streams, arriving sequentially and at high speed. Analysis must take place in real time, with partial data and without the capacity to store the entire data set. This book presents algorithms and techniques used in data stream mining and real-time analytics. Taking a hands-on approach, the book demonstrates the techniques using MOA (Massive Online Analysis), a popular, freely available open-source software framework, allowing readers to try out the techniques after reading the explanations. The book first offers a brief introduction to the topic, covering big data mining, basic methodologies for mining data streams, and a simple example of MOA. More detailed discussions follow, with chapters on sketching techniques, change, classification, ensemble methods, regression, clustering, and frequent pattern mining. Most of these chapters include exercises, an MOA-based lab session, or both. Finally, the book discusses the MOA software, covering the MOA graphical user interface, the command line, use of its API, and the development of new methods within MOA. The book will be an essential reference for readers who want to use data stream mining as a tool, researchers in innovation or data stream mining, and programmers who want to create new algorithms for MOA.
Machine Vision And Augmented Intelligence Theory And Applications
DOWNLOAD
Author : Manish Kumar Bajpai
language : en
Publisher: Springer Nature
Release Date : 2021-11-10
Machine Vision And Augmented Intelligence Theory And Applications written by Manish Kumar Bajpai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-10 with Computers categories.
This book comprises the proceedings of the International Conference on Machine Vision and Augmented Intelligence (MAI 2021) held at IIIT, Jabalpur, in February 2021. The conference proceedings encapsulate the best deliberations held during the conference. The diversity of participants in the event from academia, industry, and research reflects in the articles appearing in the volume. The book theme encompasses all industrial and non-industrial applications in which a combination of hardware and software provides operational guidance to devices in the execution of their functions based on the capture and processing of images. This book covers a wide range of topics such as modeling of disease transformation, epidemic forecast, COVID-19, image processing and computer vision, augmented intelligence, soft computing, deep learning, image reconstruction, artificial intelligence in healthcare, brain-computer interface, cybersecurity, and social network analysis, natural language processing, etc.
Mindshaping
DOWNLOAD
Author : Tadeusz Wieslaw Zawidzki
language : en
Publisher: MIT Press
Release Date : 2013-05-10
Mindshaping written by Tadeusz Wieslaw Zawidzki and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-10 with Philosophy categories.
A proposal that human social cognition would not have evolved without mechanisms and practices that shape minds in ways that make them easier to interpret. In this novel account of distinctively human social cognition, Tadeusz Zawidzki argues that the key distinction between human and nonhuman social cognition consists in our complex, diverse, and flexible capacities to shape each other's minds in ways that make them easier to interpret. Zawidzki proposes that such "mindshaping"—which takes the form of capacities and practices such as sophisticated imitation, pedagogy, conformity to norms, and narrative self-constitution—is the most important component of human social cognition. Without it, he argues, none of the other components of what he terms the "human sociocognitive syndrome," including sophisticated language, cooperation, and sophisticated "mindreading," would be possible. Challenging the dominant view that sophisticated mindreading—especially propositional attitude attribution—is the key evolutionary innovation behind distinctively human social cognition, Zawidzki contends that the capacity to attribute such mental states depends on the evolution of mindshaping practices. Propositional attitude attribution, he argues, is likely to be unreliable unless most of us are shaped to have similar kinds of propositional attitudes in similar circumstances. Motivations to mindshape, selected to make sophisticated cooperation possible, combine with low-level mindreading abilities that we share with nonhuman species to make it easier for humans to interpret and anticipate each other's behavior. Eventually, this led, in human prehistory, to the capacity to attribute full-blown propositional attitudes accurately—a capacity that is parasitic, in phylogeny and today, on prior capacities to shape minds. Bringing together findings from developmental psychology, comparative psychology, evolutionary psychology, and philosophy of psychology, Zawidzki offers a strikingly original framework for understanding human social cognition.
Incorporating The Internet Of Things In Healthcare Applications And Wearable Devices
DOWNLOAD
Author : Pankajavalli, P. B.
language : en
Publisher: IGI Global
Release Date : 2019-10-11
Incorporating The Internet Of Things In Healthcare Applications And Wearable Devices written by Pankajavalli, P. B. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-11 with Medical categories.
The internet of things (IoT) has had a major impact on academic and industrial fields. Applying these technologies to healthcare systems reduces medical costs while enriching the patient-centric approach to medicine, allowing for better overall healthcare proficiency. However, usage of IoT in healthcare is still suffering from significant challenges with respect to the cost and accuracy of medical sensors, non-standard IoT system architectures, assorted wearable devices, the huge volume of generated data, and interoperability issues. Incorporating the Internet of Things in Healthcare Applications and Wearable Devices is an essential publication that examines existing challenges and provides solutions for building smart healthcare systems with the latest IoT-enabled technology and addresses how IoT improves the proficiency of healthcare with respect to wireless sensor networks. While highlighting topics including mobility management, sensor integration, and data analytics, this book is ideally designed for computer scientists, bioinformatics analysts, doctors, nurses, hospital executives, medical students, IT specialists, software developers, computer engineers, industry professionals, academicians, researchers, and students seeking current research on how these emerging wireless technologies improve efficiency within the healthcare domain.
End To End Anomaly Detection In Stream Data
DOWNLOAD
Author : Zahra Zohrevand
language : en
Publisher:
Release Date : 2020
End To End Anomaly Detection In Stream Data written by Zahra Zohrevand and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Nowadays, huge volumes of data are generated with increasing velocity through various systems, applications, and activities. This increases the demand for stream and time series analysis to react to changing conditions in real-time for enhanced efficiency and quality of service delivery as well as upgraded safety and security in private and public sectors. Despite its very rich history, time series anomaly detection is still one of the vital topics in machine learning research and is receiving increasing attention. Identifying hidden patterns and selecting an appropriate model that fits the observed data well and also carries over to unobserved data is not a trivial task. Due to the increasing diversity of data sources and associated stochastic processes, this pivotal data analysis topic is loaded with various challenges like complex latent patterns, concept drift, and overfitting that may mislead the model and cause a high false alarm rate. Handling these challenges leads the advanced anomaly detection methods to develop sophisticated decision logic, which turns them into mysterious and inexplicable black-boxes. Contrary to this trend, end-users expect transparency and verifiability to trust a model and the outcomes it produces. Also, pointing the users to the most anomalous/malicious areas of time series and causal features could save them time, energy, and money. For the mentioned reasons, this thesis is addressing the crucial challenges in an end-to-end pipeline of stream-based anomaly detection through the three essential phases of behavior prediction, inference, and interpretation. The first step is focused on devising a time series model that leads to high average accuracy as well as small error deviation. On this basis, we propose higher-quality anomaly detection and scoring techniques that utilize the related contexts to reclassify the observations and post-pruning the unjustified events. Last but not least, we make the predictive process transparent and verifiable by providing meaningful reasoning behind its generated results based on the understandable concepts by a human. The provided insight can pinpoint the anomalous regions of time series and explain why the current status of a system has been flagged as anomalous. Stream-based anomaly detection research is a principal area of innovation to support our economy, security, and even the safety and health of societies worldwide. We believe our proposed analysis techniques can contribute to building a situational awareness platform and open new perspectives in a variety of domains like cybersecurity, and health.
Recent Advances In Modeling And Forecasting Kaiyu
DOWNLOAD
Author : Saburo Saito
language : en
Publisher: Springer Nature
Release Date :
Recent Advances In Modeling And Forecasting Kaiyu written by Saburo Saito and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.