Chapter 1. Basics of Smart Healthcare Engineering Management -- Chapter 2. Frontier of Smart Healthcare Engineering Management -- Chapter 3. Smart Healthcare Data Exchange and Utilization -- Chapter 4. Smart Healthcare Multi-modal Data Fusion -- Chapter 5. Smart Healthcare Knowledge Inference...

This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some...

Data cube plays a key role in the analysis of multidimensional data. Nowadays, the explosive growth of multidimensional data has made distributed solutions important for data cube computation. Among the architectures for distributed processing, the shared-nothing architecture is known to have...

Decision Support Systems help managers to make intelligent decisions by throwing complex queries on large databases. The response time to queries is a very crucial factor in governing the quality of decision support systems. The response time can be greatly improved by using query optimization...

Duomenų kubo konstravimas yra laikui ir kompiuteriniams resursams imlus procesas. Nepaisant to, šis darbas turi būti atliktas norint pasinaudoti greitų užklausų iš ypatingai didelių OLAP kubų teikiamais privalumais . Telekomunikacijų bendrovės surenka didelius duomenų kiekius apie...

Project management is characterize like the broader concept of a comprehensive set of management processes and activities that are limited in time and whose aim is to implement something specific, whether the introduction, change, etc. In project management, which aims to ensure effective...

The Technology Database E3TDB offers a common and consistent data inventory for different models within the TEEM project for the analysis of energy, environmental and economic issues. E3TDB comprises technical-economic data of 436 energy technologies from both supply side and demand side. E3TDB...

The mining of cube gradients is an extension of traditional association rules mining in data cube and has broad applications. In this paper, we consider the problem of mining constrained cube gradients for partially materialized data cubes. Its purpose is to extract interesting gradient-probe...