Retrieving sub-pixel land cover composition through

to the target page. They exploit this social phenomenon to identify quality pages, e.g., “authority ” pages and “hub ” pages. In this paper we argue that these algorithms miss an important dimension of the Web, the temporal dimension. The Web is not a static environment. It changes constantly. Quality pages

Awareness of the conceptual underpinnings of hypertext is important for effective design. Authors work most obviously with the spatial dimensions of page presentation but also with the manipulation of temporal dimensions of events both of which are fundamental to hypertext but rarely considered

to the target page. They exploit this social phenomenon to identify quality pages, e.g., "authority" pages and "hub" pages. In this paper we argue that these algorithms miss an important dimension of the Web, the temporal dimension. The Web is not a static environment. It changes constantly

on the presenta-tion of the temporal dimension of spatial phenomena on dynamic maps. The proposed methods are discussed in the light of how people perceive time, and are modelled on the basis of theory for common visual variables in cartography. Multimedia presentations are not limited to graphic visualization

If returns are stationary, then the risk of an asset in any time frequency can be estimated from the risk of the asset in any other time frequency through a simple linear rescaling. This implies that short-term risk carries reliable information about long-term risk, and both data frequencies and investment horizons are irrelevant when evaluating an asset’s risk. However, most series of stock returns are nonstationary, which if ignored may lead investors to make significant mistakes. Using recent data from fourteen European securities markets, I show that investors that mistakenly assume stationarity are bound to underestimate the total and systematic risk (and overestimate the risk-adjusted returns) of European stocks. The underestimation of total risk ranges between.25% and 2.18 % a month, and averages almost 1 % a month. © 2000 Bureau of Economic and Business

Abstract. Typically legal reasoning involves multiple temporal dimensions. The contribution of this work is to extend LKIF-rules (LKIF is a proposed mark-up language designed for legal documents and legal knowledge in ESTRELLA Project [3]) with temporal dimensions. We propose an XML-schema to model

apply to non-temporal dimensions, like space.

, assessing viral marketing strategies, identi-fying fast or slow paths of the information inside a collaborative network. In this paper we study the problem of finding frequent patterns in a net-work with the help of two different techniques: TAS (Temporally Anno-tated Sequences) mining, aimed at extracting

Abstract not found