Showing papers on "Data aggregator published in 2001"

Building efficient wireless sensor networks with low-level naming

Abstract: In most distributed systems, naming of nodes for low-level communication leverages topological location (such as node addresses) and is independent of any application. In this paper, we investigate an emerging class of distributed systems where low-level communication does not rely on network topological location. Rather, low-level communication is based on attributes that are external to the network topology and relevant to the application. When combined with dense deployment of nodes, this kind of named data enables in-network processing for data aggregation, collaborative signal processing, and similar problems. These approaches are essential for emerging applications such as sensor networks where resources such as bandwidth and energy are limited. This paper is the first description of the software architecture that supports named data and in-network processing in an operational, multi-application sensor-network. We show that approaches such as in-network aggregation and nested queries can significantly affect network traffic. In one experiment aggregation reduces traffic by up to 42% and nested queries reduce loss rates by 30%. Although aggregation has been previously studied in simulation, this paper demonstrates nested queries as another form of in-network processing, and it presents the first evaluation of these approaches over an operational testbed.

Consumer credit data storage system

Abstract: A consumer credit information data base for storing current consumer credit information, as well as historical credit data information. On-line computerized systems can access the data base and present current and historical credit data information to users so that better assessments can be made as to the credit worthiness of a consumer.

Method and system for financial data aggregation, analysis and reporting

Abstract: A method and system for aggregating, analyzing, and reporting on the client financial information from multiple financial service providers. Client financial data is aggregated from a variety of sources and organized in a hierarchical structure to reflect different levels of information and the relationship between the data. The aggregated client financial data is stored in a consolidation database, which for example, may be centralized or distributed database. A reconciliation procedure rechecks the client financial data to determine if any discrepancies exists at the source financial service provider. The reconciliation procedure also keeps the aggregated data in the consolidation database synchronized with the client financial data maintained by the source financial service providers. Analyses are performed on the aggregated client financial data. The analyses may be performed universally across all of a client's financial data retrieved from the source financial service providers. Analyses include among others performance analysis, risk analysis, portfolio analysis, compliance rule adherence, and relationship management. An accounting module maintains general ledger and other accounting information for the aggregated client financial data. Reporting and querying modules provide the client with either electronic access to the data and the results of the analyses or a printed report sent to the client by means of traditional mail.

System and method for distributed audience profile development through consensual interaction with a network

Abstract: User profile data are aggregated through a plurality of data aggregators, which in the present embodiment of the invention, are web sites. When a consumer interacts with an aggregator, the aggregator asks questions that the user has an option to answer. Answers given by the user are submitted to a centralized profile repository where the answers become part of the user's individual profile. The answers are tagged with a unique identifier for the aggregator. The aggregator may be remitted payment for the consumer data it aggregates and submits to the cnetral repository. When the user visits a publisher, the user may view and interact with targeted messages such as ads. The interaction with the advertisements results in payment to the consumer and the publisher of the ad.

Considerations for Temporal Aggregation: Applications to the US In-Flight Survey Data

Abstract: Data collection and analysis continue to be important for the travel industry to be aware of and responsive to their markets. One of the important limitations with most tourism data is that the number of interviews available can be too small to allow conclusions to be reached with the confidence desired. Many times, data are temporally aggregated to reach sufficient sample size. However, studies have shown that temporal aggregation does not always bring about plausible estimates. Thus, it is necessary to consider the pros and cons of temporal aggregation when one wants to put data aggregation into practice. The main objective of this article is to examine the considerations necessary to successfully apply temporal data aggregation within the context of the US In-Flight Survey (IFS) data. This article raises and addresses important issues related to temporal data aggregation from several perspectives.