Data analysis and rendering

Abstract

A data analysis system is described. The data analysis system includes a processor, a latent learner coupled to the processor, an inference deducer coupled to the processor, and a probability determiner coupled to the processor. The latent learner is to arrange data in a multi-dimensional structure based on a target activity defined by an individual. The data pertains to one of a current activity and a target activity of the individual. Further, the inference deducer is to perform analysis on the data arranged in the multi-dimensional structure to predict an outcome. The inference deducer employs a proactive-retroactive learning technique to deduce the outcome. Furthermore, the probability determiner is to determine a probability of success of the outcome. Based on the outcome and the probability of success of the outcome, a plurality of choices is generated and rendered on a smart card.

What is claimed is: 
     
         1 . A data analysis system comprising:
 a processor;   a latent learner coupled to the processor, the latent learner is to arrange data in a multi-dimensional structure based on a target activity defined by an individual, wherein the data pertains to one of a current activity and a target activity of the individual;   an inference deducer coupled to the processor to perform analysis on the data arranged in the multi-dimensional structure to predict an outcome, wherein the inference deducer employs a proactive-retroactive learning technique to deduce the outcome; and   a probability determiner coupled to the processor, the probability determiner is to determine a probability of success of the outcome,   wherein based on the outcome and the probability of success of the outcome, a plurality of choices are generated and rendered on a smart card.   
     
     
         2 . The data analysis system as claimed in  claim 1 , comprising a data receiver coupled to the processor, the data receiver is to receive data pertaining to the current activity and the target activity of the individual, wherein the data is received from at least one of the smart card and a data source. 
     
     
         3 . The data analysis system as claimed in  claim 1 , wherein the plurality of choices comprises choices pertaining to at least one of a state of the individual, an action to be taken by the individual, an expected response for the action taken, and a reward for the current activity of the individual. 
     
     
         4 . The data analysis system as claimed in  claim 1 , comprising:
 a state identifier coupled to the processor to determine a state of the individual based on the outcome and the probability of success of the outcome;   an action indicator coupled to the processor to indicate an action to be taken based on the state of the individual;   a response provider coupled to the processor to provide an expected response based on the outcome and the probability of success of the outcome, the response provider provides the expected response for a group of individuals, wherein the individual is a member of the group; and   a reward identifier coupled to the processor to identify a reward to be provided to the individual based on the current activity of the individual.   
     
     
         5 . The data analysis system as claimed in  claim 1 , wherein the action indicator is to,
 calculate a utility for each choice based on a plurality of attributes, features and latent variables associated with the action; and   determine a utility probability based on the utility of the individual performing an activity at a particular time, and a multi-layered multidimensional optimizing factors.   
     
     
         6 . The data analysis system as claimed in  claim 1 , wherein the action indicator is to,
 model each individual as a quantum particle based on a time and a location;   sheave the quantum particles to form groups of the individuals; and   determine a data set containing various choices based on predictions for a group of individuals of which the individual is a member.   
     
     
         7 . The data analysis system as claimed in  claim 1 , comprising a communicator coupled to the processor to,
 establish connection between the data analysis system and the smart card as a peer-to-peer network; and   establish a communication thread between at least two individuals having the smart card.   
     
     
         8 . The data analysis system as claimed in  claim 1 , wherein the data receiver is to,
 obtain data pertaining to a first individual and a second individual; and   transmit data pertaining to an activity of the first individual and the second individual, to the first individual, wherein the data pertaining to the activity of the first individual and the second individual is generated by the second individual.   
     
     
         9 . A method for prescribing an action in response to a current activity of an individual, the method comprising:
 receiving, by a processor, data pertaining to the activity of a plurality of individuals, the data comprising a time and a geographic location of the plurality of individuals while performing the activity;   arranging, the data in a multi-layered multi-dimensional structure based on a self-organized cognitive algebraic neural network (SCANN) technique;   based on the arranging, aggregating the data for each individual from the plurality of individuals into multiple groups, wherein the aggregation is based on historic transactions performed by the plurality of individuals;   upon grouping each individual, determining a plurality of choices for the individual based on the current activity and predictions for a group for which the individual is a member, the plurality of choices includes choices associated with actions for the current activity of the individual; and   ranking the plurality of choices in a sequential order before transmitting the plurality of choices to at least one of a smart card and an access device to render the plurality of choices to the individual.   
     
     
         10 . The method as claimed in  claim 9 , comprising determining an action taken by the individual on a choice from the plurality of choices as shared with the individual, wherein the action comprises a utility probability. 
     
     
         11 . The method as claimed in  claim 10 , wherein the determining the action comprises:
 identifying attributes associated with each of the plurality of choices shared with the individual;   calculating a utility for each of the plurality of choices based on the attributes, features, and variables associated with the plurality of choices;   determining the utility probability based on the utility, a probability of the individual being in an action at a particular time, and a multi-layered multidimensional optimizing factors.   
     
     
         12 . The method as claimed in  claim 11 , wherein the determining the plurality of choices comprises:
 accumulating cognitive states, an expected response, and a reward for the plurality of individuals;   modeling each individual from the plurality of individuals as a quantum particle based on an activity, time and a location of each individual;   identifying groups of individuals by sheaving the modeled quantum particles;   determining an order of the plurality of choices based on transactions and predictions for an individual as well as predictions for the group of individuals for which the individual is a member.   
     
     
         13 . The method as claimed in  claim 9 , comprising:
 determining actions associated with the plurality of choices based on the transaction data in asymmetric and incomplete information conditions; and   transmitting the plurality of choices to the smart card over a network.   
     
     
         14 . The method as claimed in  claim 9 , wherein the ranking the plurality of choices comprises:
 obtaining data associated with one of an individual and a group of individuals, wherein the data pertains to a particular activity;   determining whether the data is related to one of a previous activity and a new activity of the individual;   based on the determining, making connections with other individuals, wherein the other individuals are related to the individual through one of the previous activity and the new activity;   determining whether a new individual has initiated the particular activity as the individual and based on the determining, identify a plurality of choices associated with the particular activity;   upon the identifying, forecasting actions associated with each of the plurality of choices;   based on the forecasting, ranking the plurality of choices in a sequential order.   
     
     
         15 . A non-transitory computer readable medium including machine readable instructions that are executable by a computer processor to:
 receive data pertaining to a current activity of an individual, the data comprises an activity content, time, and a geographic location of the individual;   determine the current activity of the individual based on a prediction performed on the data;   identify a plurality of choices for the individual based on the current activity and predictions for a group of individuals for which the individual is a member, wherein the plurality of choices includes choices associated with an action for the current activity of the individual; and   transmit the plurality of choices to one of a smart card and an access device over a network to present the plurality of choices to the individual.   
     
     
         16 . A smart card comprising:
 a front panel having a display unit;   a rear panel having a glass cover; and   a printed circuit board sandwiched between the front panel and the rear panel, wherein the printed circuit board comprises:
 a processor; and 
 at least one application program executed by the processor to communicate with an access device, wherein the access device transmits data pertaining to an activity of the individual having the smart card to a computing device and receives a data set from the computing device for being rendered on the smart card. 
   
     
     
         17 . The smart card as claimed in  claim 16 , wherein the front panel comprises:
 at least one receiver; and   a microphone.   
     
     
         18 . The smart card as claimed in  claim 16 , wherein the rear panel comprises:
 a magnetic strip; and   a plurality of sensors to receive input from an individual having the smart card.   
     
     
         19 . The smart card as claimed in  claim 16 , wherein the display unit provides the data received from the access device in an unaided manner to provide a plurality of choices to the individual. 
     
     
         20 . A method of displaying data on a smart card, the method comprising:
 sharing data pertaining to a current activity of an individual with a computing system;   receiving analyzed data from the computing system, wherein the analyzed data comprises a plurality of choices with respect to a probable outcome based on the current activity of the individual; and   displaying the received analyzed data through a display unit of the smart card for the individual carrying the smart card.