The era of rapidly progressing technology we live in generates vast amounts of data; however, the challenge exists in understanding how to aggressively monitor and make sense of this data.
Over the years, advances in the business world as well as the changing of diverse application contexts, have caused Data Warehousing and Data Mining to become more paramount in our society.
Biologically-inspired data mining has a wide variety of applications in areas such as data clustering, classification, sequential pattern mining, and information extraction in healthcare and bioinformatics.
Particularly in the fields of software engineering, virtual reality, and computer science, data mining techniques play a critical role in the success of a variety of projects and endeavors.
The development of radio-frequency electromagnetic fields for wireless data transmission has presented several new opportunities for sharing, tracking, and reading digital information in various industries.
This volume constitute the proceedings of the Workshops which were held in conjunction with 10th Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint Conference on Web and Big Data, APWeb-WAIM 2026, held in Danang, Vietnam, during September 7–9, 2026.
Big Data analytics has emerged as a powerful tool, transforming the global financial market by enabling more informed decision-making, enhancing predictive capabilities, and improving risk management.
This volume constitute the proceedings of the Workshops which were held in conjunction with 10th Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint Conference on Web and Big Data, APWeb-WAIM 2026, held in Danang, Vietnam, during September 7–9, 2026.
The objective of Developing Quality Complex Database Systems is to provide opportunities for improving today's database systems using innovative development practices, tools and techniques.
Despite the rapid advance of technology in the last few decades, accurate, on-time and on-budget completion of information systems development projects is still a vision rather than a reality.
Data Mining and Business Intelligence: A Guide to Productivity provides an overview of data mining technology and how it is applied in a business environment.
Recent developments have drastically increased the volume and complexity of data available to be mined, leading researchers to explore new ways to glean non-trivial data automatically.
As consumer costs for multimedia devices such as digital cameras and Web phones have decreased and diversity in the market has skyrocketed, the amount of digital information has grown considerably.
Over the years, advances in the business world as well as the changing of diverse application contexts, have caused Data Warehousing and Data Mining to become more paramount in our society.
When a nation or region of the world is under a state of distress and violence, international government agencies are tasked with the job of delivering aid to assist.
The widespread use of XML in business and scientific databases has prompted the development of methodologies, techniques, and systems for effectively managing and analyzing XML data.
In a resolutely practical and data-driven project universe, the digital age changed the way data is collected, stored, analyzed, visualized and protected, transforming business opportunities and strategies.
It is generally accepted that building information modeling (BIM) related technologies offer considerable advantages to many participants in the construction sector.
Online survey research suites offer a vast array of capabilities, supporting the presentation of virtually every type of digital data - text, imagery, audio, video, and multimedia forms.
In today's society, the utilization of social media platforms has become an abundant forum for individuals to post, share, tag, and, in some cases, overshare information about their daily lives.