Algorithms and data structures

Data Mining in Finance presents a comprehensive overview of major algorithmic approaches to predictive data mining, including statistical, neural networks, ruled-based, decision-tree, and fuzzy-logic methods, and then examines the suitability of these approaches to financial data mining.

High Performance Computing Systems and Applications contains the fully refereed papers from the 13th Annual Symposium on High Performance Computing, held in Kingston, Canada, in June 1999.

Data mining involves the non-trivial extraction of implicit, previously unknown, and potentially useful information from databases.

Multimedia data comprising of images, audio and video is becoming increasingly common.

Middleware Networks: Concept, Design and Deployment of Internet Infrastructure describes a framework for developing IP Service Platforms and emerging managed IP networks with a reference architecture from the AT&T Labs GeoPlex project.

High Performance Data Mining: Scaling Algorithms, Applications and Systems brings together in one place important contributions and up-to-date research results in this fast moving area.

New technology is always evolving and companies must have appropriate security for their businesses to be able to keep up to date with the changes.

The Eighth Annual Working Conference of Information Security Management and Small Systems Security, jointly presented by WG11.

The growth of telecommunications has been largely based on mobile and data services in the past 10 years and the growth will continue.

Since the early eighties IFIP/Sec has been an important rendezvous for Information Technology researchers and specialists involved in all aspects of IT security.

Current database technology and computer hardware allow us to gather, store, access, and manipulate massive volumes of raw data in an efficient and inexpensive manner.

In recent years, tremendous research has been devoted to the design of database systems for real-time applications, called real-time database systems (RTDBS), where transactions are associated with deadlines on their completion times, and some of the data objects in the database are associated with temporal constraints on their validity.

Data Quality provides an expose of research and practice in the data quality field for technically oriented readers.

The solution of eigenvalue problems is an integral part of many scientific computations.

This book lays out the theoretical groundwork for personalized search and reputation management, both on the Web and in peer-to-peer and social networks.

The gap between theoretical ideas and messy reality, as seen in Neal Stephenson, Adam Smith, and Star Trek.

For anyone who has ever wondered how computers solve problems, an engagingly written guide for nonexperts to the basics of computer algorithms.

The study of one-shot devices such as automobile airbags, fire extinguishers, or antigen tests, is rapidly becoming an important problem in the area of reliability engineering.

Data is your business.

What if an algorithm could predict which manuscripts would become mega-bestsellers?

A spell-binding quest for the one algorithm capable of deriving all knowledge from data, including a cure for cancerSociety is changing, one learning algorithm at a time, from search engines to online dating, personalized medicine to predicting the stock market.

This book provides an essential update for experienced data processing professionals, transaction managers and database specialists who are seeking system solutions beyond the confines of traditional approaches.

Solutions for modular, functional, reactive, GUI, network, and multithreaded programmingKey FeaturesExplore the latest features of Java 11 to implement efficient and reliable codeDevelop memory-efficient applications, understanding new garbage collection in Java 11Create restful webservices and microservices with Spring boot 2 and DockerBook DescriptionFor more than three decades, Java has been on the forefront of developing robust software that has helped versatile businesses meet their requirements.

An understanding of the theory and application of logic is fundamental both to successful software and hardware development, and to gain a thorough grasp of modern computing.

A wide-ranging history of the algorithm.

Books on information theory and coding have proliferated over the last few years, but few succeed in covering the fundamentals without losing students in mathematical abstraction.

Iterative algorithms often rely on approximate evaluation techniques, which may include statistical estimation, computer simulation or functional approximation.

The design of approximation algorithms for spanning tree problems has become an exciting and important area of theoretical computer science and also plays a significant role in emerging fields such as biological sequence alignments and evolutionary tree construction.

The availability of cheaper, faster, and more reliable electronic components has stimulated important advances in computing and communication technologies.

While many think of algorithms as specific to computer science, at its core algorithmic thinking is defined by the use of analytical logic to solve problems.

While many think of algorithms as specific to computer science, at its core algorithmic thinking is defined by the use of analytical logic to solve problems.

Technological advancements in computing have changed how data is leveraged by businesses to develop, grow, and innovate.

The burgeoning field of data analysis is expanding at an incredible pace due to the proliferation of data collection in almost every area of science.

The burgeoning field of data analysis is expanding at an incredible pace due to the proliferation of data collection in almost every area of science.

Master optimal memory management techniques in .

This book discusses the computational approach in modern statistical physics in a clear and accessible way and demonstrates its close relation to other approaches in theoretical physics.

This three volume set (CCIS 1237-1239) constitutes the proceedings of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020, in June 2020.

This book constitutes the proceedings of the 14th International Conference on Verification and Evaluation of Computer and Communication Systems, VECoS 2020, which was supposed to be held in Xi'an, China, in October 2020, but was held virtually instead.

Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life.

Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life.

Human beings are competitive.

Human beings are competitive.

Technological advancements in computing have changed how data is leveraged by businesses to develop, grow, and innovate.

Become an expert at using Python for advanced statistical analysis of data using real-world examplesKey Features[*] Clean, format, and explore data using graphical and numerical summaries[*] Leverage the IPython environment to efficiently analyze data with Python[*] Packed with easy-to-follow examples to develop advanced computational skills for the analysis of complex dataBook DescriptionPython, a multi-paradigm programming language, has become the language of choice for data scientists for data analysis, visualization, and machine learning.

GPU-based Parallel Implementation of Swarm Intelligence Algorithms combines and covers two emerging areas attracting increased attention and applications: graphics processing units (GPUs) for general-purpose computing (GPGPU) and swarm intelligence.

This book examines the recent trend of extending data dependencies to adapt to rich data types in order to address variety and veracity issues in big data.

This volume constitutes the refereed proceedings of the workshops held at the 33rd International Conference on Database and Expert Systems Applications, DEXA 2022, held in Vienna, Austria, in August 2022: The 6th International Workshop on Cyber-Security and Functional Safety in Cyber-Physical Systems (IWCFS 2022); 4th International Workshop on Machine Learning and Knowledge Graphs (MLKgraphs 2022); 2nd International Workshop on Time Ordered Data (ProTime2022); 2nd International Workshop on AI System Engineering: Math, Modelling and Software (AISys2022); 1st International Workshop on Distributed Ledgers and Related Technologies (DLRT2022); 1st International Workshop on Applied Research, Technology Transfer and Knowledge Exchange in Software and Data Science (ARTE2022).

This book constitutes the proceedings of the 26th European Conference on Advances in Databases and Information Systems, ADBIS 2022, held in Turin, Italy, in September 2022.