A method includes scanning, from plurality of sets of encoded data slices to plurality of sets of encoded data slices, to identify encoded data slices that are in need of rebuilding. The method further includes adding the identified encoded data slices into a first level rebuilding queue. The method further includes analyzing the identified encoded data slices based on a rebuilding prioritization function to establish a prioritization for the identified encoded data slices. The method further includes transferring, based on the analyzing, a first group of encoded data slices into a first priority rebuilding queue and a second group of encoded data slices into a second priority rebuilding queue. The method further includes rebuilding the first and second group of encoded data slices based on a rebuilding prioritization protocol.

A system, method and interface for compiling literary works from specialized databases and/or from unique interfaces is provided, including a custom database compiled from plural existing literary indexes, wherein a master index is harmonized from said existing indexes according to common terms (e.g., book, chapter and verse for biblical indexes) with deleted duplicates. In exemplary embodiments, the master index is also augmented by ingestion of additional literary works in digital form that are chopped up based on said common terms (e.g., book, chapter, verse) extracted from the literary work.

This disclosure provides a data query method and apparatus. The method includes: dividing an object storage system into a plurality of storage spaces based on time slices, establishing a mapping relationship between the storage spaces, the time slices, and operation records, recording time slice information corresponding to a snapshot after generating the snapshot, and implementing services such as a read-only service, a snapshot rollback service, and an object change service based on the snapshot, so as to improve query performance without adding extra storage overheads.

Systems and methods for determining a query for a data store are described. A natural language text may be analyzed using heuristic processing and one or more machine learning models. Query parameters may be determined from the heuristic processing and machine learning and combined to form a query in a query language. In the heuristic processing, parsing rules may be used to remove conditional terms to generate a base question. The base question may be input to the one or more machine learning model to generate a base query which may be combined with query parameters related to the conditional terms.

A system and method for visualizing and querying high dimensional data to a user. The system includes a user device, a data-pearls visualization and querying server. The server obtains the high dimensional data from the user device associated with user. The server generates data clusters and sub-divides the data clusters into non-overlapping subsets of data-pearls using a clustering technique. The server selects a shape for each data-pearl by comparing a distance between centroid of a data-pearl and a farthest point from a determined centroid using L.sub.p norm distance measures. The server configures each data-pearl in a three-dimensional plot. The server enables the user to visualize the data-pearls on a screen of the user device. The server queries data based on a query using data dimension technique. The server dimensions data related to the query through determined classifiers based on filtered data after pruning unrelated data to the query.

A URL and a categorization associated with the URL are received. A key associated with the received URL is determined. An operation is performed on a database using the determined key. Examples of such operations include inserting the categorization into the database, changing a value associated with the key in the database, removing a key-value pair from the database, and querying the database.

Provided are systems and methods for classifying and tagging records in a record management system using information extracted and analyzed from specific areas or regions of records. A specific area or region of the record may be scanned, and the content disposed therein processed against a plurality of classification templates. Based on proximity to the classification templates, the record may be assigned one or more tags corresponding to the classification templates.

Provided are systems and methods for classifying and tagging records in a record management system using information extracted and analyzed from specific areas or regions of records. A specific area or region of the record may be scanned, and the content disposed therein processed against a plurality of classification templates. Based on proximity to the classification templates, the record may be assigned one or more tags corresponding to the classification templates.

Methods, apparatus, systems, computing devices, computing entities, and/or the like for using machine-learning concepts (e.g., machine learning models) to determine predicted taxonomy-based classification scores for claims and dynamically update data fields based on the same.

A method, software, database and system for attribute partner identification and social network based attribute analysis are presented in which attribute profiles associated with individuals can be compared and potential partners identified. Connections can be formed within social networks based on analysis of genetic and non-genetic data. Degrees of attribute separation (genetic and non-genetic) can be utilized to analyze relationships and to identify individuals who might benefit from being connected.