Pekel
Isil Pekel, Heidelberg DE
Patent application number | Description | Published |
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20150324373 | Querying Spatial Data in Column Stores Using Grid-Order Scans - A query of spatial data is received by a database comprising a columnar data store storing data in a column-oriented structure. Thereafter, a minimal bounding rectangle associated with the query is identified using a grid order scanning technique. The spatial data set corresponding to the received query is then mapped to physical storage in the database using the identified minimal bounding rectangle so that the spatial data set can be retrieved. Related apparatus, systems, techniques and articles are also described. | 11-12-2015 |
20150324399 | Querying Spatial Data in Column Stores Using Tree-Order Scans - A query of spatial data is received by a database comprising a columnar data store storing data in a column-oriented structure. Thereafter, a minimal bounding rectangle associated with the query is identified using a tree-order scanning technique. A spatial data set that corresponds to the received query is then mapped to the physical storage in the database using the identified minimal bounding rectangle. Next, the spatial data set is then retrieved. Related apparatus, systems, techniques and articles are also described. | 11-12-2015 |
20160004762 | Hilbert Curve Partitioning for Parallelization of DBSCAN - DBSCAN clustering analyses can be improved by pre-processing of a data set using a Hilbert curve to intelligently identify the centers for initial partitional analysis by a partitional clustering algorithm such as CLARANS. Partitions output by the partitional clustering algorithm can be process by DBSCAN running in parallel before intermediate cluster results are merged. | 01-07-2016 |
20160004765 | Predictive Cluster Analytics Optimization - Cluster analysis of data points in a data set can be optimized by identification of a preferred cluster analysis method. This identification can be based on indexing the data using a Hilbert curve and determining whether the data points are predominantly in spherical or non-spherical clusters. Methods, systems, and articles of manufacture are described. | 01-07-2016 |
Isil Pekel, Walldorf DE
Patent application number | Description | Published |
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20160004762 | Hilbert Curve Partitioning for Parallelization of DBSCAN - DBSCAN clustering analyses can be improved by pre-processing of a data set using a Hilbert curve to intelligently identify the centers for initial partitional analysis by a partitional clustering algorithm such as CLARANS. Partitions output by the partitional clustering algorithm can be process by DBSCAN running in parallel before intermediate cluster results are merged. | 01-07-2016 |
20160004765 | Predictive Cluster Analytics Optimization - Cluster analysis of data points in a data set can be optimized by identification of a preferred cluster analysis method. This identification can be based on indexing the data using a Hilbert curve and determining whether the data points are predominantly in spherical or non-spherical clusters. Methods, systems, and articles of manufacture are described. | 01-07-2016 |
Leonid Pekel US
Patent application number | Description | Published |
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20130282892 | EVENT EXTRACTOR - A system can comprise a memory to store machine readable instructions. The system can also comprise a processing unit to execute the machine readable instructions. The machine readable instructions can comprise an event extractor to parse a packet capture (pcap) file that includes a packet transmitted via a network between an application under test (AUT) executing on a mobile device and a server to determine a network event based on the packet. The event extractor can also generate an application programming interface (API) command file that includes an API command generated based on the network event. | 10-24-2013 |
20130326202 | LOAD TEST CAPACITY PLANNING - Disclosed herein are techniques for load test capacity planning. Resources consumed by instructions executing in a first computer apparatus are determined. A metric associated with a second computer apparatus is determined. A number of instances of the instructions that are able to execute concurrently in the second computer apparatus is determined. | 12-05-2013 |
20160034381 | IDENTIFYING TRANSPORT-LEVEL ENCODED PAYLOADS - Identifying transport-level encoded payloads includes identifying transport-level encoded payloads from a recorded script in a display, determining multiple decoding option for at least one of the transport-level encoded payloads where the multiple decoding options includes a recommended chain, and displaying multiple decoding options with at least one of the transport-level encoded payloads. | 02-04-2016 |
Leonid Pekel, Petah Tiqva IL
Patent application number | Description | Published |
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20140372590 | IDENTIFYING A POLLING COMMUNICATION PATTERN - A method for identifying a polling communication pattern within a sequence of communication entities includes grouping the communication entities into a plurality of clusters according to a criterion. Clusters are removed from the plurality according to at least one of a time pattern analysis, cluster size, and cluster duration. The clusters remaining are identified as having a polling communication pattern. | 12-18-2014 |
Leonid Pekel, Yehud IL
Patent application number | Description | Published |
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20160034381 | IDENTIFYING TRANSPORT-LEVEL ENCODED PAYLOADS - Identifying transport-level encoded payloads includes identifying transport-level encoded payloads from a recorded script in a display, determining multiple decoding option for at least one of the transport-level encoded payloads where the multiple decoding options includes a recommended chain, and displaying multiple decoding options with at least one of the transport-level encoded payloads. | 02-04-2016 |