PATENT CLAIM ANALYSIS

Application Number: 15946128
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["707", "741000"]

Abstract:
A data streaming environment provides a summary of streaming data from a sensor that is an Internet of things device. An input interface receives the streaming data. A processor is communicatively coupled to the input interface for processing the streaming data. The processed streaming data includes, but is not limited to, a plurality of records and variables that describe a characteristic of a physical object. A computer-readable medium has instructions stored thereon that, when executed by the processor, cause the processor to execute a correlation update application with the received streaming data to provide a correlation between two variables of the streaming data. The non-transitory computer-readable medium further stores sum and bin data for the correlation update application to compute the correlation. The output interface provides the processed streaming data to be visually presented in one or more data graphs on a display device.

Claim (Index 25):
The non-transitory computer-readable medium of  claim 24 , wherein, computing the Spearman's rank correlation comprises:\n computing a row rank vector from the row sum vector, wherein the row rank vector has the predefined number of rows, wherein the row rank vector defines a rank of each row of the row sum vector; computing a column rank vector from the column sum vector, wherein the column rank vector has the predefined number of columns, wherein the column rank vector defines a rank of each column of the column sum vector; computing a first row vector r 1r  using r 1 \ue89e r \ue8a0 [ i ] = r r \ue8a0 [ i ] - n + 1 2 , i=1, . . . , m1, where m1 is the predefined number of rows, r r  is the computed row rank vector, and n is the observation counter value;\n computing a second row vector r 2r  using r 2r [i]=r 1r [i]/C i , i=1, . . . , m1, where C 1 =\u221a{square root over (\u03a3 i=1 m1 n r [i](r 1r [i]) 2 )}, and n r  is the row sum vector; \n computing a first column vector r 1c  using \n r 1 \ue89e c \ue8a0 [ j ] = r c \ue8a0 [ j ] - n + 1 2 , j=1, . . . , m2, where m2 is the predefined number of columns, and r c  is the computed column rank vector;\n computing a second column vector r 2c  using r 2c [i]=r 1c [j]/C 2 , j=1, . . . , m2, where C 2 =\u221a{square root over (\u03a3 j=1 m2 n c [j](r 1c [j]) 2 )}, and n c  is the column sum vector, \n wherein the nonparametric correlation value c S  is computed using c S =r 2r T Mr 2c , where M is the bin matrix.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 91.0
- Lexical Diversity: 1.96203
- Patent Class: 707.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15813989', '15911882', '15390164', '15893959', '14966228']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1940128148579504
- 35 USC 102 Novelty (BERT): 0.4987077741492202
- Combined Prediction Score: 0.2244823107870774
- Mean Citation Score: 201.303222
- Max Citation Score: 215.98016
- Similarity Product: 147.0068949977112

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test