Databases

Deriving business value from analytics is a challenging process. Turning data into information requires a business analyst who is adept at multiple...

Linked Data for Digital Humanities provides insights into how digital technologies can enrich and diversify humanities scholarship and make it pion...

‘Kiko Llaneras is one of the most consistently interesting data journalists to have emerged in the last decade’John Burn-Murdoch, Chief data report...

Recommender Systems: A Multi-Disciplinary Approach presents a multi-disciplinary approach for the development of recommender systems. It explains d...

Jump-start your career as a data scientist—learn to develop datasets for exploration, analysis, and machine learning SQL for Data Scientists: A Beg...

While there is a lot of talk about how we now live in a knowledge society, the reality has been less impressive: We have yet to truly transition to...

This is an edited book based on the selected submissions made to the conference titled "International Conference in Smart Cities". The project prov...

Anomaly detection is the detective work of machine learning: finding the unusual, catching the fraud, discovering strange activity in large and com...

A User's Guide to Business Analytics provides a comprehensive discussion of statistical methods useful to the business analyst. Methods are develop...

Unlock the power of data analytics in finance with this comprehensive guide. Data Analytics for Finance Using Python is your key to unlocking the s...

In recent years, a considerable amount of effort has been devoted, both in industry and academia, to improving maintenance. Time is a critical fact...

The emergence of huge amounts of data which require analysis and in some cases real-time processing has forced exploration into fast algorithms for...

Cloud Computing and Big Data technologies have become the new descriptors of the digital age. The global amount of digital data has increased more ...

The book discusses the activities involved in developing an Enterprise Continuity Program (ECP) that will cover both Business Continuity Management...

To be effective, data-intensive systems require extensive ongoing customisation to reflect changing user requirements, organisational policies, and...

Educational Data Mining (EDM) is one of the emerging fields in the pedagogy and andragogy paradigm, it concerns the techniques which research data ...

DAQ and data processing is a basic part of all automated production systems, diagnostic systems, watching over quality of production, energy distri...

India is showing incredibly strong appearance in Information Technology (IT) sector worldwide, but the benefits of IT revolution have not actually ...

Web mining is the application of data mining strategies to excerpt learning from web information, i.e. web content, web structure, and web usage da...

The first comprehensive and fully systematic study of all soliloquies and solo asides in Shakespeare's playsThe Shakespearean Inside is a study of ...