초록 ▼

An information distribution apparatus generates streaming packets, that contain information which can be reproduced in real time, to be distributed to a plurality of receiving apparatuses. A distribution control unit inquires the receiving apparatuses, before starting the distribution, to decide whe

An information distribution apparatus generates streaming packets, that contain information which can be reproduced in real time, to be distributed to a plurality of receiving apparatuses. A distribution control unit inquires the receiving apparatuses, before starting the distribution, to decide whether they would like to accept the streaming packets. An accumulation control unit receives the replies from the receiving apparatuses and accumulates the number of replies. The distribution control unit starts or stops the distribution of the information on the basis of the number of replies accumulated in the accumulation control unit.

대표청구항 ▼

An information distribution apparatus generates streaming packets, that contain information which can be reproduced in real time, to be distributed to a plurality of receiving apparatuses. A distribution control unit inquires the receiving apparatuses, before starting the distribution, to decide whe

An information distribution apparatus generates streaming packets, that contain information which can be reproduced in real time, to be distributed to a plurality of receiving apparatuses. A distribution control unit inquires the receiving apparatuses, before starting the distribution, to decide whether they would like to accept the streaming packets. An accumulation control unit receives the replies from the receiving apparatuses and accumulates the number of replies. The distribution control unit starts or stops the distribution of the information on the basis of the number of replies accumulated in the accumulation control unit. d "DYNAMIC INSTALLATION AND CONFIGURATION BROKER," which is hereby incorporated by reference. This application is also related to U.S. Provisional Application No. 60/133,054 filed on May 6, 1999, and entitled "ENTERPRISE JAVABEANS AND JAVA 2 PLATFORM," and as U.S Provisional Application No. 60/139,238, filed Jun. 14, 1999, and entitled "ENTERPRISE JAVABEANS," which are hereby incorporated by reference. the cluster segments based on the initial cluster model with an observed data density of data gathered from the database; c) means for selecting ranges over dimensions of the data for determining a sum or a count of data records from the database falling within the ranges; and d) means for determining the sum or the count of data records from the database that fall within the selected ranges by integrating the functional representation from each cluster of a multiple number of clusters over the ranges. 7. The apparatus of claim 6 wherein the means for determining calculates both the sum and the count and further includes means for determining a ratio to find the average value of data records over the ranges. 8. The apparatus of claim 6 additionally comprising a user input for controlling accuracy parameters for making the comparison between the cluster model and sampled data. 9. Data mining apparatus for querying a database containing data records comprising: a ) a memory device for storing a database comprising multiple data records organized into data fields having a dimension n for storing data record items; b) a computer having one or more processing units for executing a stored computer program, said computer including a rapid access memory store; and c) an interface for coupling the memory device for storing the database to the computer to allow records to be retrieved from the database; wherein d) said computer executing a stored program having software components including i) a component for providing a first data clustering model for multiple number of data records stored on a database, sampling data from the database, and producing an updated cluster model based on a comparison between the first data clustering model and the sampled data; ii) a component for selecting ranges over dimensions of the data for determining a sum or a count of data records from the database falling within the ranges; and iii) a component for integrating a functional representation based on the updated cluster model from each cluster over the ranges to determine the sum or the count of data records from the database that fall within the selected ranges; wherein an amount of the computer's rapid access memory store is allocated for storing outlying data records determined not to fit within any of the K clusters which are counted separately when determining the sum or the count. 10. The apparatus of claim 9 wherein execution of the stored program provides said functional representation by clustering data into a number of clusters K, and wherein said clustering step is performed by allocating an amount of the computer's rapid access memory store for storing a cluster model. 11. A method of querying data records containing continuous attributes that are stored in the database; said method comprising the steps of: a) defining a data cube over which to query the database by selecting ranges over one or more of the continuous attributes of the data records in a database; b) providing a functional representation of data clustering from data records stored in the database; said functional representation identifying a distribution probability of said data records by the steps of: i) performing an intial clustering of data to provide an initial cluster model; ii) determining regions of an attribute data space where the initial cluster model does not accurately characterize data in the database; and iii) reclustering the data to produce a second cluster model which more accurately characterizes the data of the regions of the attribute data space found to not accurately charactaerize data in the database; and c) determining a count of data records from the database that fall within the data 16 cube by integrating the functional representation of the second cluster model over the selected rangs. 12. The method of claim 11 additionally comprising the step of summing attribute contributions by integrating the value of the functiona