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Patterns And Anomalies
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Book Synopsis Detecting Patterns of Anomalies by : Kaustav Das
Download or read book Detecting Patterns of Anomalies written by Kaustav Das and published by . This book was released on 2009 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "An anomaly is an observation that does not conform to the expected normal behavior. With the ever increasing amount of data being collected universally, automatic surveillance systems are becoming more popular and are increasingly using data mining methods to detect patterns of anomalies. Detecting anomalies can provide useful and actionable information in a variety of real-world scenarios. For example, in disease monitoring, a timely detection of an epidemic can potentially save many lives. The diverse nature of real-world datasets, and the difficulty of obtaining labeled training data make it challenging to develop a universal framework for anomaly detection. We focus on a key feature of most real world scenarios, that multiple anomalous records are usually generated by a common anomalous process. In this thesis we develop methods that utilize the similarity between records in these groups or patterns of anomalies to perform better detection. We also investigate new methods for detection of individual record anomalies, which we then incorporate into the group detection methods. A recurring feature of our methods is combinatorial search over some space (e.g. over all subsets of attributes, or over all subsets of records). We use a variety of computational speedup tricks and approximation techniques to make these methods scalable to large datasets. Since most of our motivating problems involve datasets having categorical or symbolic values, we focus on categorical valued datasets. Apart from this, we make few assumptions about the data, and our methods are very general and applicable to a wide variety of domains. Additionally, we investigate anomaly pattern detection in data structured by space and time. Our method generalizes the popular method of spatiotemporal scan statistics to learn and detect specific, time-varying spatial patterns in the data. Finally, we show an efficient and easily interpretable technique for anomaly detection in multivariate time series data. We evaluate our methods on a variety of real world data sets including both real and synthetic anomalies."
Book Synopsis Practical Machine Learning: A New Look at Anomaly Detection by : Ted Dunning
Download or read book Practical Machine Learning: A New Look at Anomaly Detection written by Ted Dunning and published by "O'Reilly Media, Inc.". This book was released on 2014-07-21 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: Finding Data Anomalies You Didn't Know to Look For Anomaly detection is the detective work of machine learning: finding the unusual, catching the fraud, discovering strange activity in large and complex datasets. But, unlike Sherlock Holmes, you may not know what the puzzle is, much less what “suspects” you’re looking for. This O’Reilly report uses practical examples to explain how the underlying concepts of anomaly detection work. From banking security to natural sciences, medicine, and marketing, anomaly detection has many useful applications in this age of big data. And the search for anomalies will intensify once the Internet of Things spawns even more new types of data. The concepts described in this report will help you tackle anomaly detection in your own project. Use probabilistic models to predict what’s normal and contrast that to what you observe Set an adaptive threshold to determine which data falls outside of the normal range, using the t-digest algorithm Establish normal fluctuations in complex systems and signals (such as an EKG) with a more adaptive probablistic model Use historical data to discover anomalies in sporadic event streams, such as web traffic Learn how to use deviations in expected behavior to trigger fraud alerts
Book Synopsis Discovering Patterns and Anomalies in Graphs with Discrete and Numeric Attributes by : Michael Davis
Download or read book Discovering Patterns and Anomalies in Graphs with Discrete and Numeric Attributes written by Michael Davis and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Anomaly Detection written by and published by BoD – Books on Demand. This book was released on 2024-01-17 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Anomaly Detection written by Saira Banu and published by Nova Science Publishers. This book was released on 2021 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: When information in the data warehouse is processed, it follows a definite pattern. An unexpected deviation in the data pattern from the usual behavior is called an anomaly. The anomaly in the data is also referred to as noise, outlier, spammer, deviations, novelties and exceptions. Identification of the rare items, events, observations, patterns which raise suspension by differing significantly from the majority of data is called anomaly detection. With progress in the technologies and the widespread use of data for the purpose for business the increase in the spams faced by the individuals and the companies are increasing day by day. This noisy data has boomed as a major problem in various areas such as Internet of Things, web service, Machine Learning, Artificial Intelligence, Deep learning, Image Processing, Cloud Computing, Audio processing, Video Processing, VoIP, Data Science, Wireless Sensor etc. Identifying the anomaly data and filtering them before processing is a major challenge for the data analyst. This anomaly is unavoidable in all areas of research. This book covers the techniques and algorithms for detecting the deviated data. This book will mainly target researchers and higher graduate learners in computer science and data science.
Book Synopsis Anomaly Detection as a Service by : Danfeng (Daphne) Yao
Download or read book Anomaly Detection as a Service written by Danfeng (Daphne) Yao and published by Morgan & Claypool Publishers. This book was released on 2017-10-24 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: Anomaly detection has been a long-standing security approach with versatile applications, ranging from securing server programs in critical environments, to detecting insider threats in enterprises, to anti-abuse detection for online social networks. Despite the seemingly diverse application domains, anomaly detection solutions share similar technical challenges, such as how to accurately recognize various normal patterns, how to reduce false alarms, how to adapt to concept drifts, and how to minimize performance impact. They also share similar detection approaches and evaluation methods, such as feature extraction, dimension reduction, and experimental evaluation. The main purpose of this book is to help advance the real-world adoption and deployment anomaly detection technologies, by systematizing the body of existing knowledge on anomaly detection. This book is focused on data-driven anomaly detection for software, systems, and networks against advanced exploits and attacks, but also touches on a number of applications, including fraud detection and insider threats. We explain the key technical components in anomaly detection workflows, give in-depth description of the state-of-the-art data-driven anomaly-based security solutions, and more importantly, point out promising new research directions. This book emphasizes on the need and challenges for deploying service-oriented anomaly detection in practice, where clients can outsource the detection to dedicated security providers and enjoy the protection without tending to the intricate details.
Book Synopsis Discovering Patterns and Anomalies in Graphs with Discrete and Numeric Attributes by : Michael Charles Davis
Download or read book Discovering Patterns and Anomalies in Graphs with Discrete and Numeric Attributes written by Michael Charles Davis and published by . This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Information Security Analytics by : Mark Talabis
Download or read book Information Security Analytics written by Mark Talabis and published by Syngress. This book was released on 2014-11-25 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information Security Analytics gives you insights into the practice of analytics and, more importantly, how you can utilize analytic techniques to identify trends and outliers that may not be possible to identify using traditional security analysis techniques. Information Security Analytics dispels the myth that analytics within the information security domain is limited to just security incident and event management systems and basic network analysis. Analytic techniques can help you mine data and identify patterns and relationships in any form of security data. Using the techniques covered in this book, you will be able to gain security insights into unstructured big data of any type. The authors of Information Security Analytics bring a wealth of analytics experience to demonstrate practical, hands-on techniques through case studies and using freely-available tools that will allow you to find anomalies and outliers by combining disparate data sets. They also teach you everything you need to know about threat simulation techniques and how to use analytics as a powerful decision-making tool to assess security control and process requirements within your organization. Ultimately, you will learn how to use these simulation techniques to help predict and profile potential risks to your organization. Written by security practitioners, for security practitioners Real-world case studies and scenarios are provided for each analytics technique Learn about open-source analytics and statistical packages, tools, and applications Step-by-step guidance on how to use analytics tools and how they map to the techniques and scenarios provided Learn how to design and utilize simulations for "what-if" scenarios to simulate security events and processes Learn how to utilize big data techniques to assist in incident response and intrusion analysis
Book Synopsis Anomalies in the Northern Hemisphere 700-MB 5-day-mean Circulation Patterns by : United States. Air Weather Service
Download or read book Anomalies in the Northern Hemisphere 700-MB 5-day-mean Circulation Patterns written by United States. Air Weather Service and published by . This book was released on 1956 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report is based on studies that led to the technique of forecasting large-scale pressure patterns by means of anomaly charts. The various types of charts made and results of experiments to determine their utility in extended forecasting are described. Suggestions for use of the charts in both 5-day forecasting and 24-72 hour forecasting are given.
Book Synopsis Rule-based Anomaly Pattern Detection for Detecting Disease Outbreaks by : Weng-Keen Wong
Download or read book Rule-based Anomaly Pattern Detection for Detecting Disease Outbreaks written by Weng-Keen Wong and published by . This book was released on 2002 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "Searching for anomalies in multidimensional data with a temporal component is a difficult task especially when the exact features of the anomalies are unknown. A standard but simplistic algorithm would be to obtain counts of certain events over a time interval such as a day and mark that interval to contain anomalies if this count exceeds a threshold. This naive approach misses anomalies that aggregate in feature space but do not occur frequently enough to skew the count of monitored events over the time interval. A desired solution should find these anomalous patterns rather than individual anomalies. In order to approach this problem, we propose using a rule-based anomaly detection algorithm that characterizes each anomalous pattern with a rule. The significance of each rule is carefully evaluated using Fisher's Exact Test and a randomization test. The performance of our algorithm is compared against the standard algorithm by measuring the number of false positives and the timeliness of detection. Simulated data is used in the evaluation phase. This data was produced by a simulator that simulates the effects of a disease outbreak on a city. The results indicate that our algorithm has significantly better detection times for common significance thresholds while having a slightly higher false positive rate."
Book Synopsis Network Anomaly Detection by : Dhruba Kumar Bhattacharyya
Download or read book Network Anomaly Detection written by Dhruba Kumar Bhattacharyya and published by CRC Press. This book was released on 2013-06-18 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the rapid rise in the ubiquity and sophistication of Internet technology and the accompanying growth in the number of network attacks, network intrusion detection has become increasingly important. Anomaly-based network intrusion detection refers to finding exceptional or nonconforming patterns in network traffic data compared to normal behavior. Finding these anomalies has extensive applications in areas such as cyber security, credit card and insurance fraud detection, and military surveillance for enemy activities. Network Anomaly Detection: A Machine Learning Perspective presents machine learning techniques in depth to help you more effectively detect and counter network intrusion. In this book, you’ll learn about: Network anomalies and vulnerabilities at various layers The pros and cons of various machine learning techniques and algorithms A taxonomy of attacks based on their characteristics and behavior Feature selection algorithms How to assess the accuracy, performance, completeness, timeliness, stability, interoperability, reliability, and other dynamic aspects of a network anomaly detection system Practical tools for launching attacks, capturing packet or flow traffic, extracting features, detecting attacks, and evaluating detection performance Important unresolved issues and research challenges that need to be overcome to provide better protection for networks Examining numerous attacks in detail, the authors look at the tools that intruders use and show how to use this knowledge to protect networks. The book also provides material for hands-on development, so that you can code on a testbed to implement detection methods toward the development of your own intrusion detection system. It offers a thorough introduction to the state of the art in network anomaly detection using machine learning approaches and systems.
Book Synopsis Anomalies in the North Hemisphere 700-mb 5-day-mean Circulation Patterns by : AIR WEATHER SERVICE SCOTT AFB IL.
Download or read book Anomalies in the North Hemisphere 700-mb 5-day-mean Circulation Patterns written by AIR WEATHER SERVICE SCOTT AFB IL. and published by . This book was released on 1956 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Atlas of Developmental Field Anomalies of the Human Skeleton by : Ethne Barnes
Download or read book Atlas of Developmental Field Anomalies of the Human Skeleton written by Ethne Barnes and published by John Wiley & Sons. This book was released on 2012-09-25 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by one of the most consulted authorities on the subject, Atlas of Developmental Field Anomalies of the Human Skeleton is the pre-eminent resource for developmental defects of the skeleton. This guide focuses on localized bone structures utilizing the morphogenetic approach that addresses the origins of variability within specific developmental fields during embryonic development. Drawings and photographs make up most of the text, forming a picture atlas with descriptive text for each group of illustrations. Each section and subdivision is accompanied by brief discussions and drawings of morphogenetic development.
Book Synopsis Anomaly-Detection and Health-Analysis Techniques for Core Router Systems by : Shi Jin
Download or read book Anomaly-Detection and Health-Analysis Techniques for Core Router Systems written by Shi Jin and published by Springer Nature. This book was released on 2019-12-19 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book tackles important problems of anomaly detection and health status analysis in complex core router systems, integral to today’s Internet Protocol (IP) networks. The techniques described provide the first comprehensive set of data-driven resiliency solutions for core router systems. The authors present an anomaly detector for core router systems using correlation-based time series analysis, which monitors a set of features of a complex core router system. They also describe the design of a changepoint-based anomaly detector such that anomaly detection can be adaptive to changes in the statistical features of data streams. The presentation also includes a symbol-based health status analyzer that first encodes, as a symbol sequence, the long-term complex time series collected from a number of core routers, and then utilizes the symbol sequence for health analysis. Finally, the authors describe an iterative, self-learning procedure for assessing the health status. Enables Accurate Anomaly Detection Using Correlation-Based Time-Series Analysis; Presents the design of a changepoint-based anomaly detector; Includes Hierarchical Symbol-based Health-Status Analysis; Describes an iterative, self-learning procedure for assessing the health status.
Book Synopsis Network Anmolay [i.e., Anomaly] Pattern Detection Using Self-similarity by : Ho Sun Yoo
Download or read book Network Anmolay [i.e., Anomaly] Pattern Detection Using Self-similarity written by Ho Sun Yoo and published by . This book was released on 2006 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "Data mining communities have tried to apply various techniques to network intrusion detection systems (NIDS) which analyze only packet headers. However, their efforts have not been completely successful yet. NIDS with data mining algorithms still have high false positives and negatives for unknown attacks. In addition, algorithms such as classification and clustering consider only individual data points to find outliers instead of patterns. Classification techniques require manual labeling on data sets. We decided to apply a new algorithm, which solves the limitations of traditional data mining approaches, to network intrusion detection systems. WSARE (What's Strange in Recent Events) is an anomaly pattern detection algorithm designed to detect outbreaks. It uses a time-series self-similarity method to detect anomalies. It compares a recent data set with baseline data sets to find what is different between them. Thus, it does not require labeled data sets, and it identifies anomalous patterns instead of individual data points. WSARE has showed successful results in the bio-surveillance field. It is currently in the process of being deployed in the public health sector. Network data and medical data are similar in that they are time-series. In our project, we have researched appropriate approaches to apply the algorithm to NIDS. We propose a proper network data format and a statistical test method to improve accuracy and processing time."
Book Synopsis Smith's Recognizable Patterns of Human Malformation by : Kenneth Lyons Jones
Download or read book Smith's Recognizable Patterns of Human Malformation written by Kenneth Lyons Jones and published by Elsevier Health Sciences. This book was released on 2013-09-06 with total page 1018 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smith’s Recognizable Patterns of Human Malformation has long been known as the source to consult on multiple malformation syndromes of environmental and genetic etiology as well as recognizable disorders of unknown cause. This esteemed medical reference book provides you with complete and authoritative, yet accessible guidance to help accurately diagnose these human disorders, establish prognoses, and provide appropriate management and genetic counseling. Consult this title on your favorite e-reader, conduct rapid searches, and adjust font sizes for optimal readability. Recognize the visual signs of each environmental and genetic abnormality by consulting more than 1,500 full-color photographs and illustrations, many from the personal collections of Drs. Smith and Jones. Find all the answers you need about normal and abnormal morphogenesis, minor anomalies and their relevance, clinical approaches to specific diagnoses, and normal standards of measurement for the entire spectrum of human malformation syndromes. Efficiently identify genetic disorders in your patients with the inclusion of nearly 20 recently recognized entities/syndromes, as well as new chapters on Microdeletions and Microduplication Syndromes. Available digitally for the first time! You can now access Smith’s as an eBook or online at Expert Consult.
Book Synopsis Intelligence Analysis by : Wayne Michael Hall
Download or read book Intelligence Analysis written by Wayne Michael Hall and published by Bloomsbury Publishing USA. This book was released on 2009-12-22 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a vast conceptual and theoretical exploration of the ways intelligence analysis must change in order to succeed against today's most dangerous combatants and most complex irregular theatres of conflict. Intelligence Analysis: How to Think in Complex Environments fills a void in the existing literature on contemporary warfare by examining the theoretical and conceptual foundations of effective modern intelligence analysis—the type of analysis needed to support military operations in modern, complex operational environments. This volume is an expert guide for rethinking intelligence analysis and understanding the true nature of the operational environment, adversaries, and most importantly, the populace. Intelligence Analysis proposes substantive improvements in the way the U.S. national security system interprets intelligence, drawing on the groundbreaking work of theorists ranging from Carl von Clauswitz and Sun Tzu to M. Mitchell Waldrop, General David Petraeus, Richards Heuer, Jr., Orson Scott Card, and others. The new ideas presented here will help the nation to amass a formidable, cumulative intelligence power, with distinct advantages over any and all adversaries of the future regardless of the level of war or type of operational environment.
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