Inferring precise phenotypic patterns from population-scale clinical data is a core computational task in the development of precision, personalized medicine. The traditional approach uses supervised learning, in which an expert designates which patterns to look for (by specifying the learning task and the class labels), and where to look for them (by specifying the input variables). While appr...

Human robot interaction is a key issue in order to build robots for everyone. The difficulty for people to understand how robots work and how they must be controlled will be one of the mains limit for broad robotics. In this paper, we study a new way of interacting with robots without needing to understand how robots work or to give them explicit instructions. This work is based on psychologica...

Predicting the course and major products of arbitrary reactions is a fundamental problem in chemistry, one that chemists must address in a variety of tasks ranging from synthesis design to reaction discovery. Described here is an expert system to predict organic chemical reactions based on a knowledge base of over 1500 manually composed reaction transformation rules. Novel rule extensions are i...

Environmental pollution control relies heavily on human expert judgment supported by historical data and scientific models. Telemonitoring by networks of arrays of heterogeneous sensors provides the opportunity for data mining models to be constructed from the historical data to supplement human expertise. This paper reports some progress made in the TELEMAC project by data mining. TELEMAC is c...

The capability to detect anomalous states in a network is important for both the smooth operation of the network and the security of the network. Modern networks are often heterogeneous. This raises a new challenge for anomaly detection, as there may be a wide variety of anomalous activities across the heterogeneous components of a network. We often seek a detection system that not only perform...

this manuscript is a review of a number of ethnobotany and ethnopharmacology texts and papers in order to arrive at current understanding and scope of ethnobotany and ethnopharmacology. it includes either a brief definition of both fields and presenting some examples on them. also it has a glimpse on the geographical coverage of research works throughout the world, important issue of property r...

This paper presents the results of an industry expert survey about event log generation in process mining. It takes academic assumptions as a starting point and elicits practitioner’s assessments statements execution, scoping, discovery, analysis. The shed some light on challenges perspectives around generation, well relationship between models derive for from it. responses indicate that partic...

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Keeping track of scientific challenges, advances and emerging directions is a fundamental part research. However, researchers face flood papers that hinders discovery important knowledge. In biomedicine, this directly impacts human lives. To address problem, we present novel task extraction search challenges directions, to facilitate rapid knowledge discovery. We construct release an expert-ann...

     This manuscript is a review of a number of ethnobotany and ethnopharmacology texts and papers in order to arrive at current understanding and scope of ethnobotany and ethnopharmacology. It includes either a brief definition of both fields and presenting some examples on them. Also it has a glimpse on the geographical coverage of research works throughout the world, important issue of prope...