T HE industrial sector has long been regarded as the stepchild of marketing in terms of the amount of research effort devoted to its problems. There are, however, indications that the situation may be changing. Research on industriallorganizational buying behavior is growing, and a considerable body of empirical knowledge about processes surrounding the innovation and diffusion of industrial te...

Unlike infrastructure-based counterparts, services and applications of future infrastructure-less mobile networks highly depend on the mobility patterns of wireless device carriers. Analyzing and modeling their mobility is essential in precise performance evaluation of these opportunistic networks, where inter-contacts are taken advantage of as opportunities for message forwarding. Recently, th...

We propose an extension of Datalog that supports aggregates under set semantics and is as expressive as the previous extensions of Datalog which use bag semantics to represent aggregate programs. We show that under set semantics, our extension has greater expressive power than the previous extensions of Datalog which support aggregates. By expressing aggregate Datalog queries under set semantic...

This paper uses aggregate-level data, as well as case-studies, to trace the evolution of some key structural features of the Indian economy, relating both to the agricultural and the informal industrial sector. These aggregate trends are used to infer: (a) the dominant relations of production under which the vast majority of the Indian working people labour, and (b) the predominant ways in whic...

Many aspects of the data integration problem have been considered in the literature: how to match schemas across different data sources, how to decide when different records refer to the same entity, how to efficiently perform the required entity resolution in a batch fashion, and so on. However, what has largely been ignored is a way to efficiently deploy these existing methods in a realistic,...

In this paper, we consider a typical voting situation where a group of agents show their preferences over a set of alternatives. Under our approach, such preferences are codified into individual positional values which can be aggregated in several ways through particular functions, yielding positional voting rules and providing a social result in each case. We show that scoring rules belong to ...

Wireless sensor networks have been widely used in many applications, such as soil temperature monitoring for plant growth and abnormal event detection of industrial parameters. Among these applications, aggregate queries, such as SUM, COUNT, AVERAGE, MIN and MAX are often used to collect statistical data. Due to the low quality sensing devices or random environmental disturbances, sensor data a...

The accuracy of maps based on aggregate data is dependent upon (a) the extent to which aggregate values calculated for each enumeration unit are representative of the entire unit and, (b) the data classification system used to assign these values to classes. Size and compactness of these units as well as the variability of the distribution mapped are important factors in determining the accurac...

This paper presents a graph parsing approach to recognizing common stereotypical computational structures called clich es in com puter programs Recognition is a powerful technique for e ciently recon structing useful design information from existing software We use a ow graph formalism which is closely related to hypergraph formalisms to represent programs and clich es and we use attributed ow ...

Introduction Data consisting of counts or indicators aggregated from multiple sources pose particular problems for data quality monitoring when the users of the aggregate data are blind to the individual sources. This arises when agencies wish to share data but for privacy or contractual reasons are only able to share data at an aggregate level. If the aggregators of the data are unable to guar...