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    • 1. 发明申请
    • METHOD AND APPARATUS FOR EFFICIENT AND ACCURATE ANALYTICS WITH CROSS-DOMAIN CORRELATION
    • 有效和准确的跨域关联分析的方法和装置
    • US20120215829A1
    • 2012-08-23
    • US13029699
    • 2011-02-17
    • Milind NaphadeSambit SahuJing Dai
    • Milind NaphadeSambit SahuJing Dai
    • G06F15/16
    • G06F15/18G06N99/005
    • A method of generating analytics to provide an analysis of data from distinct data domains includes collecting sensor data from at least two distinct data domains, deriving parameters from the collected data, wherein at least one of the parameters is a first domain parameter derived from one of the data domains and at least another one of the parameters is a second domain parameter derived from the other data domain, providing a data model that enables a user to specify at least one of the first parameters and at least one of the second domain parameters and generate at least one rule based on the selected parameters, and generating analytics that analyze the collected data against the rules to determinate whether the rules have been satisfied and provide results of the analysis to a user of the analytics.
    • 生成分析以提供来自不同数据域的数据分析的方法包括从至少两个不同的数据域收集传感器数据,从所收集的数据中导出参数,其中至少一个参数是从 所述数据域和所述参数中的至少另一个参数是从所述其他数据域导出的第二域参数,提供使得用户能够指定所述第一参数中的至少一个和所述第二域参数中的至少一个的数据模型, 基于所选择的参数生成至少一个规则,以及生成分析数据,根据规则分析所收集的数据,以确定规则是否已被满足,并向分析用户提供分析结果。
    • 2. 发明授权
    • Method and apparatus for efficient and accurate analytics with cross-domain correlation
    • 用于跨域相关的高效准确分析的方法和装置
    • US08972484B2
    • 2015-03-03
    • US13029699
    • 2011-02-17
    • Milind NaphadeSambit SahuJing Dai
    • Milind NaphadeSambit SahuJing Dai
    • G06F15/16G06F15/18G06N99/00
    • G06F15/18G06N99/005
    • A method of generating analytics to provide an analysis of data from distinct data domains includes collecting sensor data from at least two distinct data domains, deriving parameters from the collected data, wherein at least one of the parameters is a first domain parameter derived from one of the data domains and at least another one of the parameters is a second domain parameter derived from the other data domain, providing a data model that enables a user to specify at least one of the first parameters and at least one of the second domain parameters and generate at least one rule based on the selected parameters, and generating analytics that analyze the collected data against the rules to determinate whether the rules have been satisfied and provide results of the analysis to a user of the analytics.
    • 生成分析以提供来自不同数据域的数据分析的方法包括从至少两个不同的数据域收集传感器数据,从所收集的数据中导出参数,其中至少一个参数是从 所述数据域和所述参数中的至少另一个参数是从所述其他数据域导出的第二域参数,提供使得用户能够指定所述第一参数中的至少一个和所述第二域参数中的至少一个的数据模型, 基于所选择的参数生成至少一个规则,以及生成分析数据,根据规则分析所收集的数据,以确定规则是否已被满足,并向分析用户提供分析结果。
    • 3. 发明授权
    • Estimation of transit demand models for enhancing ridership
    • 估算增加乘客人数的过境需求模型
    • US08306848B1
    • 2012-11-06
    • US13153725
    • 2011-06-06
    • Milind NaphadeSambit Sahu
    • Milind NaphadeSambit Sahu
    • G06F17/30
    • G06F17/30241
    • A method of estimating a transit demand graph includes collecting conditional information that includes at least one condition that when satisfied converts at least one non-rider into a rider, generating a non-rider transit demand graph by satisfying one of the conditions, and generating a normalized transit demand graph from the non-rider transit demand graph and a rider transit demand graph. The riders use public transit and the non-riders do not use public transit. The non-rider transit demand graph shows the demand of the non-riders for a public transit route. The rider transit demand graph shows the demand of riders for the same public transit route.
    • 一种估计过境需求图的方法包括收集条件信息,该条件信息包括当满足将至少一个非骑手转换为骑手时至少一个条件,通过满足条件之一生成非骑车者过境需求图, 来自非乘客过境需求图的标准化过境需求图和乘客过境需求图。 乘客使用公共交通工具,非乘客不使用公共交通工具。 非乘客过境需求图显示了非公共交通路线的非乘客需求。 乘客过境需求图显示了同一条公共交通路线的乘客的需求。
    • 4. 发明申请
    • ESTIMATION OF TRANSIT DEMAND MODELS FOR ENHANCING RIDERSHIP
    • 估算移交需求模型,以提高驾驶人数
    • US20120310707A1
    • 2012-12-06
    • US13549777
    • 2012-07-16
    • Milind NaphadeSambit Sahu
    • Milind NaphadeSambit Sahu
    • G06Q10/04G06Q50/30
    • G06F17/30241
    • A method of estimating a transit demand graph includes collecting conditional information that includes at least one condition that when satisfied converts at least one non-rider into a rider, generating a non-rider transit demand graph by satisfying one of the conditions, and generating a normalized transit demand graph from the non-rider transit demand graph and a rider transit demand graph. The riders use public transit and the non-riders do not use public transit. The non-rider transit demand graph shows the demand of the non-riders for a public transit route. The rider transit demand graph shows the demand of riders for the same public transit route.
    • 一种估计过境需求图的方法包括收集条件信息,该条件信息包括当满足将至少一个非骑手转换为骑手时至少一个条件,通过满足条件之一生成非骑车者过境需求图, 来自非乘客过境需求图的标准化过境需求图和乘客过境需求图。 乘客使用公共交通工具,非乘客不使用公共交通工具。 非乘客过境需求图显示了非公共交通路线的非乘客需求。 乘客过境需求图显示了同一条公共交通路线的乘客的需求。
    • 5. 发明授权
    • Estimation of transit demand models for enhancing ridership
    • 估算增加乘客人数的过境需求模型
    • US08571918B2
    • 2013-10-29
    • US13549777
    • 2012-07-16
    • Milind NaphadeSambit Sahu
    • Milind NaphadeSambit Sahu
    • G06Q10/00
    • G06F17/30241
    • A method of estimating a transit demand graph includes collecting conditional information that includes at least one condition that when satisfied converts at least one non-rider into a rider, generating a non-rider transit demand graph by satisfying one of the conditions, and generating a normalized transit demand graph from the non-rider transit demand graph and a rider transit demand graph. The riders use public transit and the non-riders do not use public transit. The non-rider transit demand graph shows the demand of the non-riders for a public transit route. The rider transit demand graph shows the demand of riders for the same public transit route.
    • 一种估计过境需求图的方法包括收集条件信息,该条件信息包括当满足将至少一个非骑手转换为骑手时至少一个条件,通过满足条件之一生成非骑车者过境需求图, 来自非乘客过境需求图的标准化过境需求图和乘客过境需求图。 乘客使用公共交通工具,非乘客不使用公共交通工具。 非乘客过境需求图显示了非公共交通路线的非乘客需求。 乘客过境需求图显示了同一条公共交通路线的乘客的需求。
    • 6. 发明授权
    • Identifying purpose-based origin-destination using call detailed records
    • 使用呼叫详细记录识别基于目的的起始目的地
    • US09042908B2
    • 2015-05-26
    • US13467035
    • 2012-05-08
    • Jing DaiMing LiPavankumar MuraliMilind R. NaphadeSambit Sahu
    • Jing DaiMing LiPavankumar MuraliMilind R. NaphadeSambit Sahu
    • H04W24/00G08G1/01H04M15/00
    • G08G1/012H04M15/58
    • Access is obtained to call data records (or other data) for a plurality of mobile telephony users. The call data records (or other data) include location-time sequences. For each of the mobile telephony users, corresponding ones of the location-time sequences are segmented into trips; a home-work-school classification model is used to determine a home location and a work-school location, based on the trips; and a trip purpose classification model is used to assign each of the trips a purpose label, based at least on comparing at least one of a start location and an end location for each one of the trips to at least one of the home location and the work-school location determined using the home-work-school classification model. The trips are aggregated into purpose based origin-destination categories based at least on the purpose labels, time ranges of the location-time sequences, and the start and end locations.
    • 获得访问以呼叫多个移动电话用户的数据记录(或其他数据)。 呼叫数据记录(或其他数据)包括位置时间序列。 对于每个移动电话用户,将相应的位置时间序列分段为行程; 家庭工作学校分类模型用于根据旅行情况确定住所和工作地点; 并且旅行目的分类模型用于将每个行程分配目的标签,至少基于将每个行程的起始位置和结束位置中的至少一个比较到本地位置和 使用家庭工作学校分类模型确定工作学校的位置。 至少基于目的标签,位置 - 时间序列的时间范围以及开始和结束位置,将旅行聚合到基于目的的起始 - 目的地类别。
    • 10. 发明申请
    • IDENTIFYING PURPOSE-BASED ORIGIN-DESTINATION USING CALL DETAILED RECORDS
    • 使用CALL详细记录识别基于目的的原始目的地
    • US20130304363A1
    • 2013-11-14
    • US13467035
    • 2012-05-08
    • Jing DaiMing LiPavankumar MuraliMilind R. NaphadeSambit Sahu
    • Jing DaiMing LiPavankumar MuraliMilind R. NaphadeSambit Sahu
    • G08G1/00
    • G08G1/012H04M15/58
    • Access is obtained to call data records (or other data) for a plurality of mobile telephony users. The call data records (or other data) include location-time sequences. For each of the mobile telephony users, corresponding ones of the location-time sequences are segmented into trips; a home-work-school classification model is used to determine a home location and a work-school location, based on the trips; and a trip purpose classification model is used to assign each of the trips a purpose label, based at least on comparing at least one of a start location and an end location for each one of the trips to at least one of the home location and the work-school location determined using the home-work-school classification model. The trips are aggregated into purpose based origin-destination categories based at least on the purpose labels, time ranges of the location-time sequences, and the start and end locations.
    • 获得访问以呼叫多个移动电话用户的数据记录(或其他数据)。 呼叫数据记录(或其他数据)包括位置时间序列。 对于每个移动电话用户,将相应的位置时间序列分段为行程; 家庭工作学校分类模型用于根据旅行情况确定住所和工作地点; 并且旅行目的分类模型用于将每个行程分配目的标签,至少基于将每个行程的起始位置和结束位置中的至少一个比较到本地位置和 使用家庭工作学校分类模型确定工作学校的位置。 至少基于目的标签,位置 - 时间序列的时间范围以及开始和结束位置,将旅行聚合到基于目的的起始 - 目的地类别。