Background: The clinical field has vast sick data that has not been analyzed. Discovering a way to analyze this raw data and turn it into an information treasure can save many lives. Using data mining methods is an efficient way to analyze this large amount of raw data. It can predict the future with accurate knowledge of the past, providing new insights into disease diagnosis and prevention. S...

health databases contain a wide scope of clinical data to explore relationships and patterns that can lead to new medical knowledge.today, the emergence of integrated information systems and growth of information technologies have better highlighted the importance of such databases. data mining is among the technological advances toward data management whose integration with traditional methods...

Due to the increasing number of mobile robots including domestic robots for cleaning and maintenance in developed countries, human activity recognition is inevitable for congruent human-robot interaction. Needless to say that this is indeed a challenging task for robots, it is expedient to learn human activities for autonomous mobile robots (AMR) for navigating in an uncontrolled environment wi...

We propose a human action detection framework called “mixture of heterogeneous attribute analyzer”. This framework integrates heterogeneous attributes learned from static and dynamic, local and global video features, to boost the action detection performance. To this end, we first detect and track multiple people by SVM-HOG detector and tracklet generation. Multiple short human tracklets are th...

Underground coal mining in high relief terrain often causes problems such as ground collapse and mountain sliding. This produces disasters landslides, which seriously endangers the ecological environment human settlements area a series of public security events. To improve solve related problems, it is necessary to master impact law underground on surface. Therefore, taking working face 1310 Ji...

Business process management experiences a large uptake by the industry, and process models play an important role in the analysis and improvement of processes. While an increasing number of staff becomes involved in actual modeling practice, it is crucial to assure model quality and homogeneity along with providing suitable aids for creating models. In this paper we consider the problem of offe...

Rule induction has attracted a great deal of attention in Machine Learning and Data Mining. However, generating rules is not an end in itself because their applicability is not so straightforward. Indeed, the user is often overwhelmed when faced with a large number of rules. In this paper, we propose an approach to lighten this burden when the user wishes to exploit such rules to decide which a...

This paper proposes GrAM (Grounded Action Models), a novel integration of actions and action models into the knowledge representation and inference mechanisms of agents. In GrAM action models accord to agent behavior and can be specified explicitly and implicitly. The explicit representation is an action class specific set of Markov logic rules that predict action properties. Stated implicitly ...

Strictly speaking, sustainable development requires that human activities are undertaken in such a manner that they do not eliminate options for future generations. Clearly, once a given mineral deposit has been mined to exhaustion, future generations do not have the option of mining it again; hence mining fails to qualify as sustainable development sensu stricto (1). Consequently, mining can o...