Incomplete data accompanies our life processes and covers almost all fields of scientific
studies, as a result of delivery failure, no power of battery, accidental loss, etc. However, how …

In wireless communications, the signal‐to‐interference‐plus‐noise ratio (SINR) is important
in spectrum management and link scheduling. In cognitive radio and ad hoc networks …

Probabilistic inference over large data sets is a challenging data management problem
since exact inference is generally# P-hard and is most often solved approximately with …

Incomplete data is part of life and almost all areas of scientific studies. Users tend to skip
certain fields when they fill out online forms; participants choose to ignore sensitive …

Probabilistic inference over large data sets is an increasingly important data management
challenge. The central problem is that exact inference is generally# P-hard, which limits the …

In big data, the large number of missing values has a serious problem to compute the correct
decision. This problem seriously affects the quality of information query, distorts data mining …

With the development of cloud computing technologies, eBusiness systems and applications
pay more attention on customer reviews, such as commodity, customer's emotion. These …

Вероятностный вывод применительно к большим пакетам данных становится
центральной проблемой управления данными. Центральная проблема состоит в том …

The monograph is devoted to the development of mathematical and software of minimizing
requests for distribution of virtual capacity of probabilistic databases. Techniques for …