Databases Books

This book is a detailed reference on biomedical applications using Deep Learning. Because Deep Learning is an important actor shaping the future of Artificial Intelligence, its specific and innovative solutions for both medical and biomedical are very...

The author of this book has identified the seven key emerging Internet-related technologies: Internet of things, smart everything, big data, cloud computing, cybersecurity, software-defined networking, and online education. Together these technologies...

Text Mining with MATLAB provides a comprehensive introduction to text mining using MATLAB. It's designed to help text mining practitioners, as well as those with little-to-no experience with text mining in general, familiarize themselves with MATLAB and...

Online communities are among the most obvious manifestations of social networks based on new media technology. Facilitating ad-hoc communication and leveraging collective intelligence by matching similar or related users have become important success...

Provides a self-contained comprehensive treatment of both one-sample and K-sample goodness-of-fit methods by linking them to a common theory backbone Contains many data examples, including R-code and a specific R-package for...

Applied mathematics.- Similarity solutions of an MHD boundary-layer flow of a non-Newtonian fluid past a continuous moving surface.- Computational complexity investigations for?high-dimensional model representation algorithms used in multivariate...

Written by specialists in teaching computer animation, this text addresses key international topics of computer animation, such as: mathematics, modelling, rendering, and compositing. Each chapter discusses a particular topic...

Representing and Utilizing Changing Historical Places as an Ontology Time Series.- Semantic Referencing of Geosensor Data and Volunteered Geographic Information.- SPARQL-ST: Extending SPARQL to Support Spatiotemporal Queries.- Spatial...

Uncertain data is inherent in many important applications, such as environmental surveillance, market analysis, and quantitative economics research. Due to the importance of those applications and rapidly increasing amounts of uncertain data collected...

Access to Broadcast M-services: Issues and Challenges.- Traditional Data Access Methods.- Adaptive Data Access Methods.- Efficient Access to Simple M-services Using Traditional Methods.- Semantic Access to Composite M-services.- Broadcast Channel...

Domain Driven KDD Methodology.- to Domain Driven Data Mining.- Post-processing Data Mining Models for Actionability.- On Mining Maximal Pattern-Based Clusters.- Role of Human Intelligence in Domain Driven Data Mining.- Ontology Mining for Personalized...

Human choice and ICT policy: Introduction to the HCC8 Conference proceedings.- Human choice and ICT policy: Introduction to the HCC8 Conference proceedings.- Communication, information, and ICT policy: Enabling research frameworks.- The shaping of...

Context Extraction Through Audio Signal Analysis.- Extracting Semantics from Multimedia Content: Challenges and Solutions.- Broadcast Video Content Segmentation by Supervised Learning.- Audio Content Discovery: An Unsupervised Approach.- Capturing Text...

Digital forensics deals with the acquisition, preservation, examination, analysis and presentation of electronic evidence. Practically every crime now involves some digital evidence; digital forensics provides the techniques...

Distributed Technologies for Multimedia Retrieval Over Networks.- Multiple Servers Retrieval Strategy : Data Partitioning Approach.- Supporting Multiple Clients: Channel Partitioning Approach.- An Alternative Retrieval Strategy: A Play-While-Retrieve...

An Overview of Data Warehouse, OLAP and Data Mining Technology.- Network and System Security.- Intrusion Detection Systems.- Data Mining for Intrusion Detection.- Data Modeling and Data Warehousing Techniques to Improve Intrusion Detection.- Minds:...

Privacy and Data Mining.- What is Privacy?.- Solution Approaches / Problems.- Predictive Modeling for Classification.- Predictive Modeling for Regression.- Finding Patterns and Rules (Association Rules).- Descriptive Modeling (Clustering, Outlier...

Related Work.- Periodic Patterns.- Statistically Significant Patterns.- Approximate Patterns.- Conclusion Remark.

Basic Neuropsychology.- Attention, Workload and Stress.- Design Analysis.- Usability Design and Evaluation.- Human Factors in Speech Interface Design.- The Usability of Spoken Dialogue System Design.- In-Vehicle Communication System Design.- Speech...

Data Models for Semistructured Data.- ORA-SS.- Schema Extraction.- Normalization.- Views.- Physical Database Design.- Conclusion.

to Stream Data Management.- Query Execution and Optimization.- Filtering, Punctuation, Windows and Synopses.- XML & Data Streams.- CAPE: A Constraint-Aware Adaptive Stream Processing Engine.- Efficient Support for Time Series Queries in Data Stream...

Basic Mathematics for QoS.- QoS Metrics.- IP QoS Generic Functional Requirements.- IP Integrated Services and Differentiated Services.- QoS in ATM Networks.- MPLS.- References.

Modern applications are both data and computationally intensive and require the storage and manipulation of voluminous traditional (alphanumeric) and nontraditional data sets (images, text, geometric objects, time-series)...

Managing and Mining Uncertain Data, a survey with chapters by a variety of well known researchers in the data mining field, presents the most recent models, algorithms, and applications in the uncertain data mining field in a...

Basic Concepts.- Generalized Quantifiers.- QLGQ: A Query Language with Generalized Quantifiers.- Implementation and Optimization of Standard GQs.- Quantifier Prefixes.- Cooperative Query Answering.- Generalized Quantifiers and Natural Language.-...

I About Relationships and ORN.- Object Relationship Notation (ORN).- ORN Simulator.- Association Patterns.- Comparing ORN to Similar Declarative Schemes.- II Using ORN to Develop a Database System.- ORN Additive.- Object Relater (OR+).- Mapping Database...

Extracting content from text continues to be an important research problem for information processing and management. Approaches to capture the semantics of text-based document collections may be based on Bayesian models,...

High-Dimensional Data.- Characteristics of an Analysis Method.- Estimation of the Intrinsic Dimension.- Distance Preservation.- Topology Preservation.- Method comparisons.- Conclusions.

Big Data is a growing business trend, but there little advice available on how to use it practically. Written by a data mining expert with over 30 years of experience, this book uses case studies to help marketers, brand managers and IT professionals...

Data and information are fuel of this new age where powerful analytics algorithms burn this fuel to generate decisions that are expected to create a smarter and more efficient world for all of us to live in. This new area of technology has been defined...

Build beautiful data visualizations with D3The Fullstack D3 book is the complete guide to D3. With dozens of code examples showing each step, you can gain new insights into your data by creating visualizations.Learn how to quickly turn data into insights...

Data science revolves around two giants: Big Data analytics and Deep Learning. It is becoming challenging to handle and retrieve useful information due to how fast data is expanding. This book presents the technologies and tools to simplify and...

This handbook offers a cross-disciplinary perspective, models, and innovations in telehealth systems that utilize AI technologies such as Machine Learning, Augmented Reality, Virtual Reality, Big Data Management, and IoT as it discusses various methods...

Database and Mobile Computing brings together in one place important contributions and up-to-date research results in this important area. Databases and Mobile Computing serves as an excellent reference, providing insight...

Transaction processing is an established technique for the concurrent and fault­ tolerant access of persistent data. While this technique has been successful in standard database systems, factors such as time-critical ...

Information Retrieval (IR) has concentrated on the development of information management systems to support user retrieval from large collections of homogeneous textual material. A variety of approaches have been tried and...

This volume presents the results of approximately 15 years of work from researchers around the world on the use of fuzzy set theory to represent imprecision in databases. The maturity of the research in the discipline and the...

Rethinking Hypermedia: The Microcosm Approach is essentially the story of the Microcosm hypermedia research and development project that started in the late 1980's and from which has emerged a philosophy that re-examines the...

BY H. KOPETZ A real-time computer system must provide the intended service in two di­ mensions: the functional (value) dimension and the temporal dimension. The verification of a real-time system implementation is thus...

Power systems are evolving towards the Smart Grid paradigm, featured by large-scale integration of renewable energy resources, e.g. wind and solar power, deeper participation of demand side, and enhanced interaction with electric vehicles. While these...

Bring data to life with this essential guide to storytelling with maps.From scraping patterns in sand to drawing intricate lines on vellum and paper, to charting every place on the planet, humans have used maps as a powerful storytelling medium. The...

Join Ethan and his dynamic team as they navigate the complexities of terabyte-scale data processing with SQL Server and AWS Data Lake solutions. In a world where performance bottlenecks, data security, and cost management loom large, Ethan, along with...

"Coding Creativity - How to Build a Chatbot or Art Generator from Scratch with Bonus: The AI Prompting Bible" is a unique and practical self-help book that provides readers with the tools and knowledge to tap into the power of artificial...

I am publishing this book at the worst possible time. The Crypto Fear and Greed Index meter hovers over extreme fear, and yet, this is also the best time to look at the crypto market.Cryptocurrency is going at bargain sale rates, especially those coins...

DESCRIPTION The book "Problem Solving in Data Structures and Algorithms Using C++" is designed to equip readers with a solid foundation in data structures and algorithms, essential for both academic study and technical interviews. It provides a...

Studienarbeit aus dem Jahr 2015 im Fachbereich BWL - Unternehmensführung, Management, Organisation, Note: 1.0, FOM Essen, Hochschule für Oekonomie & Management gemeinnützige GmbH, Hochschulleitung Essen früher Fachhochschule, Veranstaltung:...