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Chirlian

Peter Chirlian, Basking Ridge, NJ US

Patent application numberDescriptionPublished
20100036824SYSTEM, METHOD, AND COMPUTER PROGRAM PRODUCT FOR ACCESSING AND MANIPULATING REMOTE DATASETS - A method, system and computer program product for creating a report on the basis of a plurality of remote datasets. The system for achieving this includes an intelligence server, connected to one or more tree servers. The tree servers are in turn connected to one or more databases. A user specifies a report to be created by the system. A client, acting on behalf of the user, creates a report definition that is sent to the intelligence server and the tree servers. Each tree server creates one or more segments, or slices, of the report, using the information that resides on the tree server. These slices are then sent to the intelligence server, which aggregates the slices into a tree structure. The tree structure is then converted into a report for presentation to the client. Moreover, the intelligence server receives updates from the tree servers as necessary. To do so, the tree servers and the intelligence server remain in communication for the purposes of passing update messages. The update messages are received and processed at the intelligence server in a manner that facilitates synchronization with the contributing tree servers and provides live updates to the user.02-11-2010

Peter J. Chirlian, Morristown, NJ US

Patent application numberDescriptionPublished
20090300032System, Method, and Computer Program Product for Modeling Changes to Large Scale Datasets - A system, method, and computer program product for modeling, the user appears to have a body of information in a data structure that can be manipulated independently of an underlying database. In an embodiment of the invention, the data structure is an entity cache.12-03-2009

Peter J. Chirlian, Basking Ridge, NJ US

Patent application numberDescriptionPublished
20090240746Method and system for creating a virtual customized dataset - A method and a system for creating a virtual customized dataset. A choice of one or more source datasets is first received. A filter definition for each source dataset is also received. Such a filter definition can be embodied in one or more rules. The rules are then applied to the respective source datasets to create one or more filtered source datasets. Filtered source datasets are then copied to create copied source datasets. A scaling factor is then computed for each copied source dataset. The scaling factors are then applied to the respective copied source datasets, which creates respective scaled source datasets. The scaled source datasets are then merged to create a single virtual customized dataset. This virtual customized dataset can then be output to memory, and/or presented to a user for analysis purposes. The process can be reiterated by a user, varying any of several variables, such as the choice of source datasets, the filter definitions, and scaling factors.09-24-2009