Entrepreneurial Discovery and Information Complexity in Knowledge-Intensive Industries

Networks, Propinquity, and Innovation in Knowledge-intensive Industries

Research and fellowship support was provided by grants from the National Science Foundation (#0097970 and #0545634), the National Bureau of Economic Research, and the Hewlett Foundation through a grant to the Santa Fe Institute. We thank the members of the Powell “lab” group, the Scancor Seminar, the Co-Evolution of States and Markets group at SFI, and the Harvard Business School Entrepreneursh...

Towards Knowledge-Intensive Subgroup Discovery

Subgroup discovery can be applied for exploration or descriptive induction in order to discover ”interesting” subgroups of the general population, given a certain property of interest. In domains with available background knowledge, the user usually wants to utilize this to improve the quality of the subgroup discovery results. We describe a knowledge-intensive approach for subgroup discovery u...

Knowledge Discovery and Emergent Complexity in Bioinformatics

In February 1943, the Austrian physicist Erwin Schrödinger, one of the founding fathers of quantum mechanics, gave a series of lectures at the Trinity College in Dublin, entitled “What Is Life? The Physical Aspect of the Living Cell and Mind”. In these lectures Schrödinger stressed the fundamental differences encountered between observing animate and inanimate matter, and advanced some at the t...

Knowledge discovery and knowledge validation in intensive care

Erratum to "Knowledge discovery and knowledge validation in intensive care"

Operational protocols are a valuable means for quality control. However, developing operational protocols is a highly complex and costly task. We present an integrated approach involving both intelligent data analysis and knowledge acquisition from experts that support the development of operational protocols. The aim is to ensure high quality standards for the protocol through empirical valida...