Managing and Mining Sensor Data Book

Managing and Mining Sensor Data

  • Author : Charu C. Aggarwal
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-01-15
  • Genre: Computers
  • Pages : 534
  • ISBN 10 : 9781461463092

Managing and Mining Sensor Data Excerpt :

Advances in hardware technology have lead to an ability to collect data with the use of a variety of sensor technologies. In particular sensor notes have become cheaper and more efficient, and have even been integrated into day-to-day devices of use, such as mobile phones. This has lead to a much larger scale of applicability and mining of sensor data sets. The human-centric aspect of sensor data has created tremendous opportunities in integrating social aspects of sensor data collection into the mining process. Managing and Mining Sensor Data is a contributed volume by prominent leaders in this field, targeting advanced-level students in computer science as a secondary text book or reference. Practitioners and researchers working in this field will also find this book useful.

Data Mining Techniques in Sensor Networks Book

Data Mining Techniques in Sensor Networks

  • Author : Annalisa Appice
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-09-12
  • Genre: Computers
  • Pages : 105
  • ISBN 10 : 9781447154549

Data Mining Techniques in Sensor Networks Excerpt :

Sensor networks comprise of a number of sensors installed across a spatially distributed network, which gather information and periodically feed a central server with the measured data. The server monitors the data, issues possible alarms and computes fast aggregates. As data analysis requests may concern both present and past data, the server is forced to store the entire stream. But the limited storage capacity of a server may reduce the amount of data stored on the disk. One solution is to compute summaries of the data as it arrives, and to use these summaries to interpolate the real data. This work introduces a recently defined spatio-temporal pattern, called trend cluster, to summarize, interpolate and identify anomalies in a sensor network. As an example, the application of trend cluster discovery to monitor the efficiency of photovoltaic power plants is discussed. The work closes with remarks on new possibilities for surveillance enabled by recent developments in sensing technology.

Web Data Mining and Applications in Business Intelligence and Counter Terrorism Book
Score: 5
From 2 Ratings

Web Data Mining and Applications in Business Intelligence and Counter Terrorism

  • Author : Bhavani Thuraisingham
  • Publisher : CRC Press
  • Release Date : 2003-06-26
  • Genre: Business & Economics
  • Pages : 544
  • ISBN 10 : 9780203499511

Web Data Mining and Applications in Business Intelligence and Counter Terrorism Excerpt :

The explosion of Web-based data has created a demand among executives and technologists for methods to identify, gather, analyze, and utilize data that may be of value to corporations and organizations. The emergence of data mining, and the larger field of Web mining, has businesses lost within a confusing maze of mechanisms and strategies for obta

Handbook of Sensor Networking Book

Handbook of Sensor Networking

  • Author : John R. Vacca
  • Publisher : CRC Press
  • Release Date : 2015-01-13
  • Genre: Computers
  • Pages : 448
  • ISBN 10 : 9781466569720

Handbook of Sensor Networking Excerpt :

The Most Complete and Up-to-Date Account of Advanced Sensor Networking TechnologiesHandbook of Sensor Networking: Advanced Technologies and Applications provides a complete professional reference and practitioner's guide to today's advanced sensor networking technologies. The handbook focuses on both established and recent sensor networking theory,

Data Science and Big Data Computing Book

Data Science and Big Data Computing

  • Author : Zaigham Mahmood
  • Publisher : Springer
  • Release Date : 2016-07-05
  • Genre: Business & Economics
  • Pages : 319
  • ISBN 10 : 9783319318615

Data Science and Big Data Computing Excerpt :

This illuminating text/reference surveys the state of the art in data science, and provides practical guidance on big data analytics. Expert perspectives are provided by authoritative researchers and practitioners from around the world, discussing research developments and emerging trends, presenting case studies on helpful frameworks and innovative methodologies, and suggesting best practices for efficient and effective data analytics. Features: reviews a framework for fast data applications, a technique for complex event processing, and agglomerative approaches for the partitioning of networks; introduces a unified approach to data modeling and management, and a distributed computing perspective on interfacing physical and cyber worlds; presents techniques for machine learning for big data, and identifying duplicate records in data repositories; examines enabling technologies and tools for data mining; proposes frameworks for data extraction, and adaptive decision making and social media analysis.

Recent Trends in Image Processing and Pattern Recognition Book

Recent Trends in Image Processing and Pattern Recognition

  • Author : K.C. Santosh
  • Publisher : Springer
  • Release Date : 2017-04-26
  • Genre: Computers
  • Pages : 452
  • ISBN 10 : 9789811048593

Recent Trends in Image Processing and Pattern Recognition Excerpt :

This book constitutes the refereed proceedings of the First International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2016, held in Bidar, Karnataka, India, in December 2016. The 39 revised full papers presented were carefully reviewed and selected from 99 submissions. The papers are organized in topical sections on document analysis; pattern analysis and machine learning; image analysis; biomedical image analysis; biometrics.

Intelligent Techniques for Warehousing and Mining Sensor Network Data Book

Intelligent Techniques for Warehousing and Mining Sensor Network Data

  • Author : Cuzzocrea, Alfredo
  • Publisher : IGI Global
  • Release Date : 2009-12-31
  • Genre: Computers
  • Pages : 424
  • ISBN 10 : 9781605663296

Intelligent Techniques for Warehousing and Mining Sensor Network Data Excerpt :

"This book focuses on the relevant research theme of warehousing and mining sensor network data, specifically for the database, data warehousing and data mining research communities"--Provided by publisher.

Handbook of Big Geospatial Data Book

Handbook of Big Geospatial Data

  • Author : Martin Werner
  • Publisher : Springer Nature
  • Release Date : 2021-05-07
  • Genre: Computers
  • Pages : 641
  • ISBN 10 : 9783030554620

Handbook of Big Geospatial Data Excerpt :

This handbook covers a wide range of topics related to the collection, processing, analysis, and use of geospatial data in their various forms. This handbook provides an overview of how spatial computing technologies for big data can be organized and implemented to solve real-world problems. Diverse subdomains ranging from indoor mapping and navigation over trajectory computing to earth observation from space, are also present in this handbook. It combines fundamental contributions focusing on spatio-textual analysis, uncertain databases, and spatial statistics with application examples such as road network detection or colocation detection using GPUs. In summary, this handbook gives an essential introduction and overview of the rich field of spatial information science and big geospatial data. It introduces three different perspectives, which together define the field of big geospatial data: a societal, governmental, and governance perspective. It discusses questions of how the acquisition, distribution and exploitation of big geospatial data must be organized both on the scale of companies and countries. A second perspective is a theory-oriented set of contributions on arbitrary spatial data with contributions introducing into the exciting field of spatial statistics or into uncertain databases. A third perspective is taking a very practical perspective to big geospatial data, ranging from chapters that describe how big geospatial data infrastructures can be implemented and how specific applications can be implemented on top of big geospatial data. This would include for example, research in historic map data, road network extraction, damage estimation from remote sensing imagery, or the analysis of spatio-textual collections and social media. This multi-disciplinary approach makes the book unique. This handbook can be used as a reference for undergraduate students, graduate students and researchers focused on big geospatial data. Professionals can use this book,

Sensor Technologies Book

Sensor Technologies

  • Author : Michael J. McGrath
  • Publisher : Apress
  • Release Date : 2014-01-23
  • Genre: Computers
  • Pages : 336
  • ISBN 10 : 9781430260141

Sensor Technologies Excerpt :

Sensor Technologies: Healthcare, Wellness and Environmental Applications explores the key aspects of sensor technologies, covering wired, wireless, and discrete sensors for the specific application domains of healthcare, wellness and environmental sensing. It discusses the social, regulatory, and design considerations specific to these domains. The book provides an application-based approach using real-world examples to illustrate the application of sensor technologies in a practical and experiential manner. The book guides the reader from the formulation of the research question, through the design and validation process, to the deployment and management phase of sensor applications. The processes and examples used in the book are primarily based on research carried out by Intel or joint academic research programs. “Sensor Technologies: Healthcare, Wellness and Environmental Applications provides an extensive overview of sensing technologies and their applications in healthcare, wellness, and environmental monitoring. From sensor hardware to system applications and case studies, this book gives readers an in-depth understanding of the technologies and how they can be applied. I would highly recommend it to students or researchers who are interested in wireless sensing technologies and the associated applications.” Dr. Benny Lo Lecturer, The Hamlyn Centre, Imperial College of London “This timely addition to the literature on sensors covers the broad complexity of sensing, sensor types, and the vast range of existing and emerging applications in a very clearly written and accessible manner. It is particularly good at capturing the exciting possibilities that will occur as sensor networks merge with cloud-based ‘big data’ analytics to provide a host of new applications that will impact directly on the individual in ways we cannot fully predict at present. It really brings this home through the use of carefully chosen case studies that bring the overwhelming

Healthcare Information Management Systems Book

Healthcare Information Management Systems

  • Author : Charlotte A. Weaver
  • Publisher : Springer
  • Release Date : 2015-09-21
  • Genre: Medical
  • Pages : 618
  • ISBN 10 : 9783319207650

Healthcare Information Management Systems Excerpt :

Healthcare Information Management Systems, 4th edition, is a comprehensive volume addressing the technical, organizational and management issues confronted by healthcare professionals in the selection, implementation and management of healthcare information systems. With contributions from experts in the field, this book focuses on topics such as strategic planning, turning a plan into reality, implementation, patient-centered technologies, privacy, the new culture of patient safety and the future of technologies in progress. With the addition of many new chapters, the 4th Edition is also richly peppered with case studies of implementation. The case studies are evidence that information technology can be implemented efficiently to yield results, yet they do not overlook pitfalls, hurdles, and other challenges that are encountered. Designed for use by physicians, nurses, nursing and medical directors, department heads, CEOs, CFOs, CIOs, COOs, and healthcare informaticians, the book aims to be a indispensible reference.

Data Mining Book

Data Mining

  • Author : Charu C. Aggarwal
  • Publisher : Springer
  • Release Date : 2015-04-13
  • Genre: Computers
  • Pages : 734
  • ISBN 10 : 9783319141428

Data Mining Excerpt :

This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. It goes beyond the traditional focus on data mining problems to introduce advanced data types such as text, time series, discrete sequences, spatial data, graph data, and social networks. Until now, no single book has addressed all these topics in a comprehensive and integrated way. The chapters of this book fall into one of three categories: Fundamental chapters: Data mining has four main problems, which correspond to clustering, classification, association pattern mining, and outlier analysis. These chapters comprehensively discuss a wide variety of methods for these problems. Domain chapters: These chapters discuss the specific methods used for different domains of data such as text data, time-series data, sequence data, graph data, and spatial data. Application chapters: These chapters study important applications such as stream mining, Web mining, ranking, recommendations, social networks, and privacy preservation. The domain chapters also have an applied flavor. Appropriate for both introductory and advanced data mining courses, Data Mining: The Textbook balances mathematical details and intuition. It contains the necessary mathematical details for professors and researchers, but it is presented in a simple and intuitive style to improve accessibility for students and industrial practitioners (including those with a limited mathematical background). Numerous illustrations, examples, and exercises are included, with an emphasis on semantically interpretable examples. Praise for Data Mining: The Textbook - “As I read through this book, I have already decided to use it in my classes. This is a book written by an outstanding researcher who has made fundamental contributions to data mining, in a way that is both accessible and up to date. The book is complete wit

Enterprise Big Data Engineering  Analytics  and Management Book

Enterprise Big Data Engineering Analytics and Management

  • Author : Atzmueller, Martin
  • Publisher : IGI Global
  • Release Date : 2016-06-01
  • Genre: Computers
  • Pages : 272
  • ISBN 10 : 9781522502944

Enterprise Big Data Engineering Analytics and Management Excerpt :

The significance of big data can be observed in any decision-making process as it is often used for forecasting and predictive analytics. Additionally, big data can be used to build a holistic view of an enterprise through a collection and analysis of large data sets retrospectively. As the data deluge deepens, new methods for analyzing, comprehending, and making use of big data become necessary. Enterprise Big Data Engineering, Analytics, and Management presents novel methodologies and practical approaches to engineering, managing, and analyzing large-scale data sets with a focus on enterprise applications and implementation. Featuring essential big data concepts including data mining, artificial intelligence, and information extraction, this publication provides a platform for retargeting the current research available in the field. Data analysts, IT professionals, researchers, and graduate-level students will find the timely research presented in this publication essential to furthering their knowledge in the field.

Knowledge Discovery from Sensor Data Book

Knowledge Discovery from Sensor Data

  • Author : Auroop R. Ganguly
  • Publisher : CRC Press
  • Release Date : 2008-12-10
  • Genre: Computers
  • Pages : 215
  • ISBN 10 : 1420082337

Knowledge Discovery from Sensor Data Excerpt :

As sensors become ubiquitous, a set of broad requirements is beginning to emerge across high-priority applications including disaster preparedness and management, adaptability to climate change, national or homeland security, and the management of critical infrastructures. This book presents innovative solutions in offline data mining and real-time analysis of sensor or geographically distributed data. It discusses the challenges and requirements for sensor data based knowledge discovery solutions in high-priority application illustrated with case studies. It explores the fusion between heterogeneous data streams from multiple sensor types and applications in science, engineering, and security.

Frequent Pattern Mining Book

Frequent Pattern Mining

  • Author : Charu C. Aggarwal
  • Publisher : Springer
  • Release Date : 2014-08-29
  • Genre: Computers
  • Pages : 471
  • ISBN 10 : 9783319078212

Frequent Pattern Mining Excerpt :

This comprehensive reference consists of 18 chapters from prominent researchers in the field. Each chapter is self-contained, and synthesizes one aspect of frequent pattern mining. An emphasis is placed on simplifying the content, so that students and practitioners can benefit from the book. Each chapter contains a survey describing key research on the topic, a case study and future directions. Key topics include: Pattern Growth Methods, Frequent Pattern Mining in Data Streams, Mining Graph Patterns, Big Data Frequent Pattern Mining, Algorithms for Data Clustering and more. Advanced-level students in computer science, researchers and practitioners from industry will find this book an invaluable reference.

Data Driven Decision Making using Analytics Book

Data Driven Decision Making using Analytics

  • Author : Parul Gandhi
  • Publisher : CRC Press
  • Release Date : 2021-12-21
  • Genre: Computers
  • Pages : 150
  • ISBN 10 : 9781000506433

Data Driven Decision Making using Analytics Excerpt :

This book aims to explain Data Analytics towards decision making in terms of models and algorithms, theoretical concepts, applications, experiments in relevant domains or focused on specific issues. It explores the concepts of database technology, machine learning, knowledge-based system, high performance computing, information retrieval, finding patterns hidden in large datasets and data visualization. Also, it presents various paradigms including pattern mining, clustering, classification, and data analysis. Overall aim is to provide technical solutions in the field of data analytics and data mining. Features: Covers descriptive statistics with respect to predictive analytics and business analytics. Discusses different data analytics platforms for real-time applications. Explain SMART business models. Includes algorithms in data sciences alongwith automated methods and models. Explores varied challenges encountered by researchers and businesses in the realm of real-time analytics. This book aims at researchers and graduate students in data analytics, data sciences, data mining, and signal processing.