International Business Machines Corporation

Dakshi Agrawal

Dinesh C Verma

Vasileios Pappas

Mudhakar Srivatsa

Chatschik Bisdikian

Robert Bruce Nicholson

Franck Vinh Le

Raghu Kiran Ganti

Bongjun Ko

Kang-Won Lee

Petros Zerfos

Murtaza Zafer

Thai V Le

Kaladhar Voruganti

Sandeep Gopisetty

Erich Miles Nahum

Ramya Raghavendra

Seraphin Bernard Calo

Sihyung Lee

Ramani Ranjan Routray

Bong Jun Ko

Bruce Oliver Anthony, Jr

Ting He

Kisung Lee

Gregory E McBride

Mukesh Kumar Mohania

Robert Beverley Basham

David Michael Shackelford

Brent William Yardley

Joel W Branch

Khalid Filali-Adib

Francis Nicholas Parr

Cuong Minh Le

James Mitchell Ratliff

Joseph W Ziskin

Michael G Hill

Rashed Z Bhatti

Casimer M DeCusatis

Yang Song

Murthy V Devarakonda

Norbert George Vogl

Thai Franck Le

Jeffrey James Jonas

Chung-hao Tan

Maroun Touma

David Alson George

Matthew Edward Duggan

Konstantinos Magoutis

Ho Yin Starsky Wong

Shreeranjani Srirangamsridharan

Jorge Lobo

Alina Beygelzimer

Gauri Sudhir Shah

Ho Y Wong

Jingjing Wang

Gary Lipson

Victor S Moore

Douglas Morgan Freimuth

Dinakaran B Joseph

Yunyao Li

Pankaj Rohatgi

Steve Richard White

Lap Thiet Huynh

Charanjit Singh Jutla

Josyula R Rao

James R Giles

Hugo M Krawczyk

David P Olshefski

Daniel Joseph Martin

Kristian Jon Stewart

Rosario Gennaro

Prithviraj Sen

Tal D Rabin

Sivaram Gottimukkala

Bruce Roy Archambeault

Pranita Sharad Dewan

William Cornejo

John Majikes

Yeon-Sup Lim

Shoel D Perelman

Franck Le Thai

Poornima Chozhiyath Raman

Mudhaker Srivatsa

Bruce O Anthony

Thai V (Franck) Le

Cagatay Capar

Animashree Anandkumar

Joseph D Ryan

Bong-Jun Ko

A system and method are provided for discovering k-nearest-neighbors to a given point within a certain distance d. The method includes constructing an index of geometries using geohashes of geometries as an indexing key to obtain an indexed set of geometries, and calculating a geohash representation of the given point with a resolution equal to a magnitude value of d. The method includes searching for a closest-prefix geometry from the indexed set using the geohash representation of the given point, and identifying geometries from the indexed set having a same prefix as the closest-prefix geometry. The method further includes calculating distances between the given point and the geometries identified from the indexed set having the same prefix as the closest-prefix geometry, and determining k geometries with respective shortest distances less than d from the geometries identified from the indexed set having the same prefix as the closest-prefix geometry.

Fast and accurate geomapping

Embodiments for providing rare topic detection using hierarchical topic modeling by a processor. A hierarchical topic model may be learned from one or more data sources. One or more dominant words in a selected cluster may be iteratively removed using the hierarchical topic model. The dominant words may relate to one or more primary topics of the cluster. The learned hierarchical topic model may be seeded with one or more words, n-grams, phrases, text snippets, or a combination thereof to evolve the hierarchical topic model and the removed dominant words are reinstated upon completion of the seeding.

Rare topic detection using hierarchical clustering

In an approach, a processor trains a statistical classifier and a set of micro classifiers. A processor receives an input to be classified by the statistical classifier. A processor receives a label assigned to the input by the statistical classifier and respective labels assigned by each micro classifier of the set of micro classifiers. A processor determines that the label assigned by the statistical classifier is the same as at least one label assigned by at least one micro classifier of the set of micro classifiers. A processor generates a natural language explanation for assigning the label using the at least one micro classifier and the label. A processor outputs the label and the natural language explanation to a user of a computing device. A processor receives user feedback from the user in the form of an acceptance or a rejection of the natural language explanation.

Natural language explanation for classifier predictions

Techniques for inserting and extracting geolocation data using spatial indexing in a key value database are provided. In an embodiment, a system is provided for generating one or more geohashes for a geometry object, wherein the one or more geohashes comprises encoded bits that are stored as keys in a key value database. In one example, the system comprises a geometry indexing component that generates a spatial index, wherein the spatial index is based on a total number of the encoded bits generated for the one or more geohashes. In one example, the system comprises a geometry storing component that stores the geometry object and the one or more geohashes in the key value database using the spatial index to allow for faster retrieval of the geometry object. The advantage is that properly inserted and indexed spatial data can be quickly retrieved.

Facilitating spatial indexing on distributed key-value stores

Embodiments for implementing intelligent customer journey prediction and customer segmentation of a processor in a computing environment. A response outcome of a customer journey for a user may be predicted according to an assigned score based on one or more discriminatory sequence patterns identified between one or more groups of customers using one or more machine learning operations.

Customer journey prediction and customer segmentation

The present disclosure relates generally to mechanisms for the estimation of location privacy risk, comprising: building one or more trajectory models from auxiliary information (e.g., one or more maps, one or more routes); capturing common behavioral patterns (e.g., shortest route(s),/fastest route(s)); identifying, given unlinked trajectories for a plurality of users, most likely linkages using the trajectory model(s); eliminating one or more unlikely linkages based on deviation from the shortest route(s) and/or the fastest route(s); measuring privacy as the percentage of linkages correctly identified; and outputting the measured privacy.

Privacy risk metrics in location based services

A system and method for tracking provenance for software use and development includes a developer toolkit program stored in memory and accessible by a software market place, the software marketplace providing a library of software bundles usable for software development and modification of the software bundles. The developer toolkit includes a user interface configured to enable software creation of original works and derivative works. The development toolkit further includes a provenance tracker configured to track provenance of the derivative works and original works wherein the provenance tracker makes the derivative work and the provenance of the derivative work available in the software market place. The provenance tracker includes a software bundle identification module configured to identify and verify ownership of the original works and derivative works by associating an owner of the derivative works and original works with features included in portions of the derivative works and original works.

Method and system for provenance tracking in software ecosystems

Middleboxes include a processor configured to determine a degree of mismatch between a sequence number in a first connection between the middlebox and a client device and a sequence number in a second connection between the middlebox and a server device. A network control module is configured to delay acknowledgment signals from the middlebox on a connection to decrease the degree of mismatch between sequence numbers and to establish a direct connection between the client device and the server device without mediation by the middlebox upon a determination that the degree of mismatch between sequence numbers is zero.

Transparent middlebox graceful entry and exit

Systems, methods, and computer-readable media are described for automatically identifying potential errors in the text output of a domain-agnostic speech-to-text engine and generating text snippets that contain words representative of the potential errors and other words in the neighborhoods of such words for context. In this manner, a substantially reduced amount of text (i.e., the text snippets) can be reviewed for errors in the speech-to-text conversion rather than the entire text output, thereby significantly reducing the burden associated with error identification in the text output.

Speech-to-text engine customization

Embodiments for network virtualization of user equipment (UE) in a wireless communication network. A trigger may be received from a user equipment (UE) indicating potential UE mobility away from a remote virtual machine (VM) instance on a host server collocated on an eNodeB in the wireless communication network. One or more identifiers (ID) of one or more potential host servers collocated on one or more alternative eNodeBs may be determined for receiving the UE. VM replication may be provided to the one or more potential host servers to enable continuation of the remote VM instance.

Network virtualization of user equipment in a wireless communication network

Various embodiments detecting wireless communication device mobility in a wireless communication network. In one embodiment, one or more Internet Protocol (IP) data packets associated with a wireless communication device are analyzed. The wireless communication device is coupled with the edge entity. A determination is made, based on the analyzing, that the wireless communication device is a newly coupled device at the edge entity. A central entity disposed within the wireless communication network is notified that the wireless communication device is currently coupled to the edge entity.

Mobility detection for edge applications in wireless communication networks

A method, system and computer program product for transmitting content across a link in a communications network. In an embodiment, the method comprises examining traffic in the network at a sender end of the link to determine if the traffic is carrying compressed content; when the traffic is carrying compressed content, decompressing at least one portion of the compressed content; and checking a cache to determine if the cache has content matching the at least one decompressed portion of the content. In an embodiment, the method further comprises when the cache has content matching the at least one decompressed portion of the content, determining an identifier associated with the at least one decompressed portion of the content; and using the identifier to reconstruct, at a receiving end of the link, the at least one decompressed portion of the content. In one embodiment, the at least one decompressed portion of the content from the traffic is replaced with an index, the index is compressed to form the associated identifier, and the associated identifier is sent to the receiving end of the link.

Saving bandwidth in transmission of compressed data

A method for multicategory classification of streaming data records includes receiving a list of signature rules, each comprising a Boolean expression of a set of atomic recognizers (ARs) of one or more input fields of an input record and an assignment of a signature if the Boolean expression evaluates to TRUE, generating a list of all signature contexts from the list of signature rules, generating a context lookup table for each context, and processing a stream of input records on which signature detection is performed by using said ARs, said list of signature contexts, and said context lookup table for each context, wherein each input record in the stream of input records is classified into one of a plurality of categories based on the signature detection result, wherein an amount of processing grows sublinearly with a number of signature rules being processed.

Signature detection

A method includes positioning a proxy between a client and a server; the proxy receiving the client's Transmission Control Protocol (TCP) communications intended for establishing a communication connection to the server; the proxy initiating a TCP communication with the server after receiving the client's TCP; and the proxy determining a TCP congestion control algorithm based upon identifying information of the received client's TCP and on properties of the sever to provide optimum communications as a communication proxy between the client and the server.

Dynamic selection of TCP congestion control for improved performances

Growing community of inventors

Monsey, NY, United States of America

Dakshi Agrawal