Abstract: Provided are techniques for secure matching supporting fuzzy data. A first bloom filter for a first data element is retrieved, wherein each of the characters in the data element has been encrypted with a beginning offset position of the character and encrypted with an end offset position of the character to produce two encrypted values that are added to the first bloom filter. A second bloom filter for a second data element is retrieved. The first bloom filter and the second bloom filter are compared to determine whether there is a match between the first data element and the second data element.

Abstract: Provided are techniques for secure matching supporting fuzzy data. A first bloom filter for a first data element is retrieved, wherein each of the characters in the data element has been encrypted with a beginning offset position of the character and encrypted with an end offset position of the character to produce two encrypted values that are added to the first bloom filter. A second bloom filter for a second data element is retrieved. The first bloom filter and the second bloom filter are compared to determine whether there is a match between the first data element and the second data element.

Abstract: Provided are techniques for secure matching supporting fuzzy data. A first bloom filter for a first data element is retrieved, wherein each of the characters in the data element has been encrypted with a beginning offset position of the character and encrypted with an end offset position of the character to produce two encrypted values that are added to the first bloom filter. A second bloom filter for a second data element is retrieved. The first bloom filter and the second bloom filter are compared to determine whether there is a match between the first data element and the second data element.

Abstract: A method and system are disclosed for determining relative connectedness from temporal data. A user iterates through a list of items implemented on a mobile device. As each item on the list is located it is marked to generate a corresponding timestamp. The timestamps are then used to generate a timestamped list, which in turn is processed to determine the amount of elapsed time between each item on the list being located. The timestamped list data is then processed to generate relative connectedness data, which in turn is processed to generate a relative connectedness graph. The relative connectedness graph is then processed to assign coordinates to each item on the list. In turn, the coordinates are used to generate a map of the items.

Abstract: A method and system are disclosed for determining relative connectedness from temporal data. A user iterates through a list of items implemented on a mobile device. As each item on the list is located it is marked to generate a corresponding timestamp. The timestamps are then used to generate a timestamped list, which in turn is processed to determine the amount of elapsed time between each item on the list being located. The timestamped list data is then processed to generate relative connectedness data, which in turn is processed to generate a relative connectedness graph. The relative connectedness graph is then processed to assign coordinates to each item on the list. In turn, the coordinates are used to generate a map of the items.

Abstract: Provided are techniques for secure matching supporting fuzzy data. A first bloom filter for a first data element is retrieved, wherein each of the characters in the data element has been encrypted with a beginning offset position of the character and encrypted with an end offset position of the character to produce two encrypted values that are added to the first bloom filter. A second bloom filter for a second data element is retrieved. The first bloom filter and the second bloom filter are compared to determine whether there is a match between the first data element and the second data element.