| Patent application number | Description | Published |
|---|
| 20090157342 | METHOD AND APPARATUS OF USING DRIVE TEST DATA FOR PROPAGATION MODEL CALIBRATION - A method using drive test data for propagation model calibration includes: step | 06-18-2009 |
| 20090187447 | CHECKING THE CORRECTNESS OF GIS DATA - A method and apparatus for checking the correctness of GIS data. The method includes the steps of: receiving GIS data; receiving business data of each branch; determining the geographic area to which each branch belongs, wherein the GIS data in the geographic area will be checked; and, checking whether the GIS data of the geographic area to which each branch belongs are correct based on the business data of each branch. The method and apparatus can automatically check geographic and demographic data of a given city or region. | 07-23-2009 |
| 20090187464 | METHOD AND APPARATUS FOR END-TO-END RETAIL STORE SITE OPTIMIZATION - A method and apparatus for end-to-end retail store one-stop site configuration integrates multiple data sources, identifying key customers, forecasting merchandise demand. Site configuration is formulated as a mathematical optimization problem with both in-store and external data as input to the problem whose solution provides proper suggestions for retail store transformation. | 07-23-2009 |
| 20090234782 | METHOD AND APPARATUS FOR LOCATION EVALUATION AND SITE SELECTION - Method, apparatus and system for location evaluation and site selection, capable of effectively configuring the site network and evaluating the facility location by scientifically modeling and incorporating human knowledge are provided. In one aspect, geographic and demographic data associated with a plurality of locations and human knowledge comprising partial rating knowledge and pair-wise preference knowledge are used in a regression algorithm to construct a location evaluation model. The regression algorithm is further refined using active learning that identifies a plurality of pairs of locations to improve precision of the regression algorithm. | 09-17-2009 |
| 20090281869 | METHOD AND APPARATUS FOR INTEGRATED MULTIPLE FACTORS INTO A UNIFIED OPTIMIZATION MODEL FOR RETAIL NETWORK CONFIGURATION - A method and system for integrating multiple factors into a unified optimization model for retail network configuration, in one aspect, obtains input data for modeling store configuration. The input data may include demand of each merchandise category from each customer segment in each facility, geographic distribution of stores in an area, current revenue of stores, and physical cost of reconfiguring stores. A trade area is generated as a function of store location, store format, and store capacity. The method and system also generates trade area demand summation representing predicted total demand of all stores for all merchandise categories for all customer segments in the trade area, as a function of store location, store format, store capacity, merchandise category, and customer segment associated with the trade area. An objective function is constructed as a function of said trade area demand summation, current revenue of stores, and physical cost of reconfiguring stores. | 11-12-2009 |
| 20110040601 | METHOD AND APPARATUS FOR CUSTOMER SEGMENTATION USING ADAPTIVE SPECTRAL CLUSTERING - A method and system for customer segmentation using adaptive spectral clustering may include determining initial segmentation labels, determining new customer behavior data, formulating a single objective minimization function that integrates the initial segmentation labels with the new customer behavior data, and determining best fit to both the initial segmentation labels and the new customer behavior data simultaneously by minimizing the single objective minimization function. | 02-17-2011 |
| 20110137710 | METHOD AND APPARATUS FOR OUTLET LOCATION SELECTION USING THE MARKET REGION PARTITION AND MARGINAL INCREMENT ASSIGNMENT ALGORITHM - A system and method of determining at least one location for a retail outlet in a region are described. The system and method use clustering technology for partitioning the region into a fixed number of sub-regions. Then, the system and method compute marginal increments from input data for each sub-region. The system and method choose a sub-region having a maximal marginal increment for a location of a first retail outlet. | 06-09-2011 |
| 20110179047 | METHOD AND SYSTEM FOR FUZZY SEARCHING, SEARCHING RESULT PROCESSING, AND FILTER CONDITION PROCESSING - A method and system for fuzzy searching, searching result processing and filter condition processing are provided. The method for fuzzy searching based on subtree filtering includes: receiving a data flow to be filtered; and filtering the data flow in an incomplete matching manner, and processing a filter condition in a form of character string for which a user does not give complete information. Therefore, inconvenience that a NETCONF protocol subtree filtering mechanism is only limited to exact matching and absolute path, and more known information is required in data searching is resolved. | 07-21-2011 |
