We review the rapidly growing literature on auxiliary information-based (AIB) process monitoring methods. Under this approach, there is an assumption that variable, which correlated with quality variable of interest, has a known mean, or some other parameter, cannot change over time. demonstrate violations can have serious adverse effects both when stable and been shift. Some shifts in interest...

Point-of-interest (POI) recommendation is the prevalent personalized service in location-based social networks (LBSNs). A single use of matrix factorization (MF) or deep neural cannot effectively capture complex structure user–POI interactions. In addition, to alleviate data-sparsity problem, current methods primarily introduce auxiliary information users and POIs. Auxiliary often judged be equ...

We examine an under-explored visual recognition problem, where we have a main view along with an auxiliary view of visual information present in the training data, but merely the main view is available in the test data. To effectively leverage the auxiliary view to train a stronger classifier, we propose a collaborative auxiliary learning framework based on a new discriminative canonical correl...

This paper illustrates that prediction techniques, commonly used in model-based approach, can be applied to incorporating auxiliary information in design-based estimation. Design-based estimators of population parameters (such as mean or total) under simple random sampling without replacement using auxiliary information are developed by extending the designbased prediction method of Stanek, Sin...

A data warehouse is a large data repository for the purpose of analysis and decision making in organizations. To improve the query performance and to get fast access to the data, data is stored as materialized views (MV) in the data warehouse. When data at source gets updated, the materialized views also need to be updated. In this paper, we focus on the problem of maintenance of these material...