Aalto University

About: Aalto University is a education organization based out in Espoo, Finland. It is known for research contribution in the topics: Population & Carbon nanotube. The organization has 9969 authors who have published 32648 publications receiving 829626 citations. The organization is also known as: TKK & Aalto-korkeakoulu.

k-means--: A Unified Approach to Clustering and Outlier Detection

Abstract: We present a unified approach for simultaneously clustering and discovering outliers in data. Our approach is formalized as a generalization of the k-means problem. We prove that the problem is NP-hard and then present a practical polynomial time algorithm, which is guaranteed to converge to a local optimum. Furthermore we extend our approach to all distance measures that can be expressed in the form of a Bregman divergence. Experiments on synthetic and real datasets demonstrate the effectiveness of our approach and the utility of carrying out both clustering and outlier detection in a concurrent manner. In particular on the famous KDD cup network-intrusion dataset, we were able to increase the precision of the outlier detection task by nearly 100% compared to the classical nearest-neighbor approach.

Role of Knowledge in Value Creation in Business Nets

Abstract: This paper focuses on the role of knowledge in intentionally created business networks called nets. Nets are seen to offer firms collective benefits beyond those of a single firm or market transaction. We propose that the types of knowledge and learning required in the management of different types of business net are dependent on the value creation characteristics of the net types. Based on this we suggest a classification of three generic net types –‘current business nets’, ‘business renewal nets’, and ‘emerging new business nets’– and argue that they pose different conditions for management in nets. Using this framework and integrating notions from the industrial network approach, strategic management and dynamic capabilities view, and organizational learning we make a number of observations and propositions about the role of knowledge and learning in the three types of business net. The paper contributes to the emerging theory of network management.

Guide to Nonlinear Potential Estimates

Abstract: One of the basic achievements in nonlinear potential theory is that the typical linear pointwise estimates via fundamental solutions find a precise analog in the case of nonlinear equations. We give a comprehensive account of this fact and prove new unifying families of potential estimates. We also describe new fine properties of solutions to measure data problems.