International Business Machines Corporation

Gang Luo

Philip Shi-lung Yu

Rong Yan

Kun-Lung Wu

Deepak Srinivas Turaga

Nagui Halim

Daby Mousse Sow

Chunqiang Tang

Alain E Biem

Timothy Rea Dinger

Philip Shilung Yu

Wanli Min

Methods and systems for maintaining a materialized view defined on a relation of a relational database include providing a materialized view maintenance system implemented in a computing device having at least a processor and a memory device. It is determined whether an update to a base relation is irrelevant with respect to the materialized view by performing content-based filtering on the base relation using the materialized view maintenance system. An estimate of at least one of an importance and an effect of the update to the base relation is generated. One or both of performing a load shedding operation on the relational database based upon the estimate and quantifying the effect of the update being omitted from the materialized view based on the estimate is performed. The maintained materialized view is displayed so as to exclude determined irrelevant updates.

System and method for real-time materialized view maintenance

A method of analyzing physiological data streams. According to the method, physiological data is received into a computerized machine. The physiological data comprises numerical data and medical symptoms of a patient. Features are extracted from the physiological data based on development of the physiological data over a period of time. The features are converted into a textual representation using natural language generation. Input terms for an information retrieval system operating on the computerized machine are automatically generated based on the features. The input terms are input to the information retrieval system. A corpus of data is automatically searched to retrieve results to the input terms using the information retrieval system.

Hypothesis-driven, real-time analysis of physiological data streams using textual representations

There are provided a method, a computer program product, and a system for maintaining a materialized view defined on a relation of a relational database. The method includes the step of performing content-based filtering on the relation to identify an update to the relation as being irrelevant with respect to the materialized view.

There are provided a system and method for resource adaptive, real-time new event detection. The method includes capturing, from among documents in a document streaming environment that includes a plurality of remote streaming document sources, first-story documents. The method further includes storing any of the documents determined to be the first-story documents in a memory. The method also includes classifying the documents as important or non-important based on pre-specified criteria. The method additionally includes storing, in the memory, only information of the documents classified as important, when the memory overflows. The method further includes discarding the documents that are classified as non-important when a document consumption rate from the memory is less than a document insertion rate into the memory. The method additionally includes removing the information of the documents classified as important from the memory subsequent to one of consumption and processing by a consumer.

System and method for resource-adaptive, real-time new event detection

Techniques are disclosed for detecting new events in a video stream that yield improved detection efficiency in real time. For example, a method determines whether a given event is a new event in a video stream. The video stream includes a plurality of events. A first step extracts a first set of features (e.g., text features) from the given event. The first set of features is computationally less expensive to process as compared to a second set of features (e.g., image features) associated with the given event. A second step computes one or more first dissimilarity values between the given event and one or more previous events in the video stream using only the first set of features when one or more first dissimilarity criteria exist. A third step determines whether the given event is a new event based on the one or more computed first dissimilarity values.

System and method for real-time new event detection on video streams

There are provided a system and method for resource adaptive, real-time new event detection. The method includes capturing, from among documents in a document streaming environment, first-story documents that mention previously unmentioned events. The method further includes dynamically adjusting a thoroughness of the capturing step by controlling a number of keywords and documents considered according to a real-time system load.

There are provided methods, computer program products, and systems for indexing a data stream. A method for indexing a data stream having attribute values includes the steps of parsing the data stream, and forming an index of tuples for a subset of attribute values of the data stream. The index is configured for retrieving the top-K tuples that optimize linearly weighted sums of at least some of the attribute values in the subset.

System and method for indexing a data stream

A method of subject-adaptive, real-time sleep stage classification to classify electroencephalogram sleep recordings into sleep stages to determine whether a subject exhibits a sleep disorder includes performing subject adaptation to improve classification accuracy for a new subject with limited training data, the performing subject adaptation comprises using linear-chain conditional random fields and potential functions, training the linear-chain conditional random fields using the training data, continuously receiving the electroencephalogram waves, continuously extracting features from the electroencephalogram waves, the extracting features comprising transforming each of the electroencephalogram waves to capture information embedded in the electroencephalogram waves, and continuously classifying the sleep stages according to extracted features and learned parameters from the linear-chain conditional random fields.

Method and system for subject-adaptive real-time sleep stage classification

Systems and methods are provided for resource adaptive workload management. In a method thereof, at least one execution objective is received for at least one of a plurality of queries under execution. A progress status of, and an amount of resource consumed by, each of the plurality of queries are monitored. A remaining resource requirement for each of the plurality of queries is estimated, based on the progress status of, and the amount of resource consumed by, each of the plurality of queries. Resource allocation is adjusted based on the at least one execution objective and the estimates of the remaining resource requirements.

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Yorktown Heights, NY, United States of America

Gang Luo