Exploring Soft Information Granules

From Data to Information Granules

Fuzzy information granules in time series data

Michael R. Berthold,* Marco Ortolani, David Patterson, Frank Höppner, Ondine Callan, Heiko Hofer University of Konstanz, 78457 Konstanz, Germany University of Palermo, Department of Electrical Engineering, Viale delle Scienze 90128 Palermo, Italy Tripos, Inc., 1699 S. Hanley Road, St. Louis, MO 64133 University of Applied Sciences, Emden, Department of Electrical Engineering and Computer Scienc...

On Exploring Soft Discretization of Continuous Attributes

Searching for a binary partition of attribute domains is an important task in data mining. It is present in both decision tree construction and discretization. The most important advantages of decision tree methods are compactness and clearness of knowledge representation as well as high accuracy of classification. Decision tree algorithms also have some drawbacks. In cases of large data tables...

Exploring the Rheology of Soft Glassy Matter

In this paper I will review some of the recent results that have been obtained in the soft glassy materials rhology. I will concentrate my attention on the formulation of two main models for soft materials: Soft Glassy Material (SRG) model proposed by Peter Sollich that quanti es the mechanical response of these systems and predicts aging under suitable conditions and a time recurrence model (c...

Exploring scarless healing of oral soft tissues.

Our research group is comparing clinical, histological and molecular healing profiles of oral and skin wounds using human and pig models. The goal is to determine the molecular cues that lead to scarless healing in the oral mucosa and use that information to develop scar prevention therapies for skin and prevent aberrant wound healing in the oral cavity. Wound healing in human and pig palatal m...