A pragmatic ensemble strategy for missing values imputation in health records
Pristine and trustworthy data are required for efficient computer modelling for medical
decision-making, yet data in medical care is frequently missing. As a result, missing values …
decision-making, yet data in medical care is frequently missing. As a result, missing values …
Approximate denial constraints
The problem of mining integrity constraints from data has been extensively studied over the
past two decades for commonly used types of constraints including the classic Functional …
past two decades for commonly used types of constraints including the classic Functional …
[HTML][HTML] Consistent discovery of frequent interval-based temporal patterns in chronic patients' data
Increasingly, frequent temporal patterns discovered in longitudinal patient records are
proposed as features for classification and prediction, and as means to cluster patient …
proposed as features for classification and prediction, and as means to cluster patient …
Health informatics: Clinical information systems and artificial intelligence to support medicine in the CoViD-19 pandemic
The CoViD-19 pandemic generated huge quantities of healthcare and clinical data. Artificial
intelligence (AI) may help in processing such data, to support patient care, and to plan …
intelligence (AI) may help in processing such data, to support patient care, and to plan …
[HTML][HTML] Procedure prediction from symbolic Electronic Health Records via time intervals analytics
Prediction of medical events, such as clinical procedures, is essential for preventing
disease, understanding disease mechanism, and increasing patient quality of care …
disease, understanding disease mechanism, and increasing patient quality of care …
An improved attack path discovery algorithm through compact graph planning
Z Yichao, Z Tianyang, G Xiaoyue, W Qingxian - IEEE Access, 2019 - ieeexplore.ieee.org
Attack path discovery plays an important role in protecting network infrastructure.
Unfortunately, previous attack path discovery algorithms are difficult for applying in reality …
Unfortunately, previous attack path discovery algorithms are difficult for applying in reality …
Enabling instant-and interval-based semantics in multidimensional data models: the T+ MultiDim Model
Time is a vital facet of every human activity. Data warehouses, which are huge repositories
of historical information, must provide analysts with rich mechanisms for managing the …
of historical information, must provide analysts with rich mechanisms for managing the …
A 3-window framework for the discovery and interpretation of predictive temporal functional dependencies
Clinical databases collect large volume of data. Relationships and patterns within these data
could provide new medical knowledge. Temporal data mining has as major scope the …
could provide new medical knowledge. Temporal data mining has as major scope the …
A rough set approach for approximating differential dependencies
AD Tran, S Arch-int, N Arch-int - Expert Systems with Applications, 2018 - Elsevier
Data dependencies in databases and attribute dependencies in decision systems are
important when addressing problems concerning data quality and attribute reduction, in …
important when addressing problems concerning data quality and attribute reduction, in …
Theory and applications of formation control in a perceptive referenced frame
W Kang, N Xi, A Sparks - … of the 39th IEEE Conference on …, 2000 - ieeexplore.ieee.org
A general method of controller design is developed in this paper for the purpose of formation
keeping and reconfiguration of multiple autonomous vehicles. Controllers are designed to …
keeping and reconfiguration of multiple autonomous vehicles. Controllers are designed to …