Abstract: A method and system of predicting drug-drug interactions (DDIs) may include receiving: (a) a DDI data structure, representing known DDIs between baseline drugs, (b) a plurality of baseline drug data elements, comprising line-notation descriptions of chemical structure of corresponding baseline drugs, and (c) a substance data element, comprising a line-notation description of a chemical structure of a substance of interest. Embodiments may calculate one or more similarity metric values, representing structural similarity between the substance of interest and specific baseline drugs, and select a subset of the baseline drugs based on the one or more similarity metric values. Embodiments may subsequently predict DDI between the substance of interest and a target baseline drug, based on (i) the selected subset of baseline drugs and (ii) the DDI data structure.

Abstract: A method, system and computer program product, the method comprising: sampling data from a computer network for training a monitoring system, comprising: obtaining information about the computer network to be monitored; obtaining indicators of available resources for collecting training data from the computer network; receiving mandatory objects to be monitored within the computer network; selecting at least one object to be monitored from under-monitored objects within the computer network, said selecting based upon monitoring resources remaining after reducing resources required for monitoring the mandatory objects, from the available resources; and sampling data in accordance with the selection.

Abstract: A method for generating synthetic data records which include datasets that capture state-based transitions, according to which a state transition family is randomly selecting, according to the distribution of samples between the different clusters of users and the context variables are randomly sampled according to their distribution within the chosen cluster. The relevant Markov Chains models are selected according to the sampled context and the initial state of the sequence is randomly selected according to the distribution of states. A random walk process is initialized on the graph models and the random walk is performed process on each context separately, assuming context independency. The cause condition of the current transition is sampled for each state transition, based on the distributions on the selected edge.

Abstract: Providing distanced audio from a remote location using mobile devices, which a change in the orientation of a destination mobile device to a pointing orientation, aimed to an object of interest, is detected using an exploration application that is installed in advance on the mobile device. The azimuth to which the mobile device is currently pointing is calculated and all point and/or of objects of interest which are within a predetermined range from the pointing device, are detected. Then the exploration application automatically connects to a remote server which continuously collects the current location information of any user of a mobile device and maps its location with respect to stationary object or points of interests, or to moving objects. The server provides via the application, one or more audio alerts to the user of the destination device that one or more object or points of interest are in range.

Abstract: A method for providing elected sounds to a user—isolated from sounds of the environment—of a mobile device to increase his awareness regarding entities or events in his vicinity. The user wears sound isolating headphones connected to his mobile device. A mobile application is installed on the mobile device, and is automatically activated when the headphones are connected to his mobile device. The application is adapted to automatically activate the device's microphone when the isolating headphones are plugged into the device and periodically compare in real-time, sounds received from the environment, to a predefined collection of reference sounds. Sounds of the environment, which match one or more reference sounds from the collection are selectively filtered out and as long as the sounds received from the environment match the one or more reference sounds from the collection, the filtered sounds are continuously passed to the isolating headphones.

Abstract: A method for automatically establishing multi-participant interactions and/or conference calls between users of mobile devices, according to which an interaction establishing application is installed on the mobile device of each participating user and receives for each user, phone numbers of other users defined as his friends and a list of predetermined triggers as conditions for initiating an interaction between users. The application constantly monitors the location of each user's mobile device and upon detecting that one or more of the triggers are met, the application automatically initiates one or more interactions between users that comply with the triggers that are met.

Abstract: A system for generating fabricated pattern data records (XDRs) based on data from accessible data sources, which comprises an XDR core module containing one or more modeling and pattern creation modules for modeling original data received from the data sources; one or more synthetic data generation modules for generating fabricated data, based on the patterns created by the modeling and pattern creation modules; a data splitting module for splitting the data into training and testing sets according to a predetermined policy; an XDR storage database for storing created patterns and fabricated data; a configuration manager for controlling the operation of the modeling and pattern creation modules and of the synthetic data generation modules; a plurality of XDR agents being software components for communicating with the data sources and accessing relevant data, using a unique API of each data source.

Abstract: A method for generating synthetic data records which include datasets that capture state-based transitions, according to which a state transition family is randomly selecting, according to the distribution of samples between the different clusters of users and the context variables are randomly sampled according to their distribution within the chosen cluster. The relevant Markov Chains models are selected according to the sampled context and the initial state of the sequence is randomly selected according to the distribution of states. A random walk process is initialized on the graph models and the random walk is performed process on each context separately, assuming context independency. The cause condition of the current transition is sampled for each state transition, based on the distributions on the selected edge.

Abstract: The invention is a system for protecting mobile devices in cellular networks from unauthorized harmful applications and for protecting cellular network infrastructure from targeted or benign overloads. The system comprises mobile cellular devices and a cellular network infrastructure. Some of the mobile devices comprise an application manager, which is adapted to manage the aggregation and learning processes, and a detection manager, which is adapted to analyze network behavior and detect deviations. The application manager and the detection manager are adapted to monitor the applications running on a device, learn the patterns of mobile applications network behavior and detect meaningful deviations from the application's observed normal behavior. The cellular network infrastructure comprises a services module, a logic module, and a database access unit adapted for aggregation and analysis of an application's network traffic patterns for numerous users.

Abstract: A method for automatically establishing multi-participant interactions and/or conference calls between users of mobile devices, according to which an interaction establishing application is installed on the mobile device of each participating user and receives for each user, phone numbers of other users defined as his friends and a list of predetermined triggers as conditions for initiating an interaction between users. The application constantly monitors the location of each user's mobile device and upon detecting that one or more of the triggers are met, the application automatically initiates one or more interactions between users that comply with the triggers that are met.

Abstract: A method for providing elected sounds to a user—isolated from sounds of the environment—of a mobile device to increase his awareness regarding entities or events in his vicinity. The user wears sound isolating headphones connected to his mobile device. A mobile application is installed on the mobile device, and is automatically activated when the headphones are connected to his mobile device. The application is adapted to automatically activate the device's microphone when the isolating headphones are plugged into the device and periodically compare in real-time, sounds received from the environment, to a predefined collection of reference sounds. Sounds of the environment, which match one or more reference sounds from the collection are selectively filtered out and as long as the sounds received from the environment match the one or more reference sounds from the collection, the filtered sounds are continuously passed to the isolating headphones.

Abstract: Providing distanced audio from a remote location using mobile devices, which a change in the orientation of a destination mobile device to a pointing orientation, aimed to an object of interest, is detected using an exploration application that is installed in advance on the mobile device. The azimuth to which the mobile device is currently pointing is calculated and all point and/or of objects of interest which are within a predetermined range from the pointing device, are detected. Then the exploration application automatically connects to a remote server which continuously collects the current location information of any user of a mobile device and maps its location with respect to stationary object or points of interests, or to moving objects. The server provides via the application, one or more audio alerts to the user of the destination device that one or more object or points of interest are in range.

Abstract: A method for providing geographically based sound cues to a user of a mobile device, each sound cue informs the user on a nearby point of interest. The method is an eight step process that has as its eighth step: sounding said sound cue at the right and left earphones of the device at respective levels that are based on said calculated right-left balance.

Abstract: A system for task modeling interactive sequential applications for one or more mobile devices has a software tool for defining a generic meta-model of the target applications. The generic meta-model has a static model of application components, and a dynamic model of identifiers of application screens and connections; a passive Task Model database for storing the generic meta-model for future reuse, which further comprises static instances of the generic meta-model specifically generated for a variety of mobile devices; a tracker module for real-time monitoring and creating unique identifier for each application's screen visited by the user of the mobile device, wherein created identifiers are used for generating active models of the user actual use; and an active Task Model database for storing the active models, wherein data transferring and storing is minimized to screen identifier numbers.

Abstract: The invention is a system for protecting mobile devices in cellular networks from unauthorized harmful applications and for protecting cellular network infrastructure from targeted or benign overloads. The system comprises mobile cellular devices and a cellular network infrastructure. Some of the mobile devices comprise an application manager, which is adapted to manage the aggregation and learning processes, and a detection manager, which is adapted to analyze network behavior and detect deviations. The application manager and the detection manager are adapted to monitor the applications running on a device, learn the patterns of mobile applications network behavior and detect meaningful deviations from the application's observed normal behavior. The cellular network infrastructure comprises a services module, a logic module, and a database access unit adapted for aggregation and analysis of an application's network traffic patterns for numerous users.

Abstract: The invention is an ontological-content-based method for filtering and ranking the relevancy of items. The filtering method of the invention utilizes a hierarchical ontology, which considers the distance, or similarity between concepts representing each user to concepts representing each item, according to the position of related concepts in the hierarchical ontology. Based on that, the filtering algorithm computes the similarity between the items and users and rank-orders the items according to their relevancy to each user. The method finds general use in the fields of information filtering and publishing, specifically the production of electronic newspapers for which the invention provides methods of filtering and ranking the relevance of news content to specific readers in order to allow production of personalized electronic newspapers.

Abstract: A system for task modeling interactive sequential applications for one or more mobile devices, which comprises a software tool for defining a generic meta-model of the target applications, wherein the generic meta-model consist of a static model of application components, and a dynamic model of IDs of application screens and connections; a passive TM database for storing the generic meta-model for future reuse, which further comprises static instances of the generic meta-model specifically generated for a variety of mobile devices; a tracker module for real-time monitoring and creating unique ID for each application's screen visited by the user of the mobile device, wherein created IDs are used for generating active models of the user actual use; and an active TM database for storing the active models, wherein data transferring and storing is minimized to screen ID numbers.

Abstract: The invention is an ontological-content-based method for filtering and ranking the relevancy of items. The filtering method of the invention utilizes a hierarchical ontology, which considers the distance, or similarity between concepts representing each user to concepts representing each item, according to the position of related concepts in the hierarchical ontology. Based on that, the filtering algorithm computes the similarity between the items and users and rank-orders the items according to their relevancy to each user. The method finds general use in the fields of information filtering and publishing, specifically the production of electronic newspapers for which the invention provides methods of filtering and ranking the relevance of news content to specific readers in order to allow production of personalized electronic newspapers.