Abstract: An information presentation device generates a plurality of training models by executing machine learning that uses training data. The information presentation device generates hierarchical information that represents, in a hierarchical structure, a relationship between hypotheses shared as common and hypotheses regarded as differences for a plurality of hypotheses extracted from each of the plurality of training models and each designated by a combination of one or more explanatory variables.

Abstract: A non-transitory computer-readable recording medium storing an information processing program for causing a computer to execute processing including: extracting, for a plurality of pieces of combination data each of which is a combination of a plurality of feature amounts that includes an invariable feature amount and a variable feature amount that represent features of a target, combination data to be processed based on the plurality of pieces of combination data according to relation between the respective pieces of combination data; executing causal search processing for the variable feature amount according to the invariable feature amount by using the combination data to be processed; and selecting, based on a result of the causal search processing, a specific variable feature amount that corresponds to the specified invariable feature amount, to present the selected specific variable feature.

Abstract: A medium for Bacillus cereus group detection, which is favorable in growth of Bacillus cereus regardless of the temperature condition, and further is excellent in selectivity; and a method for detecting a Bacillus cereus group using the medium. The medium for Bacillus cereus group detection includes a phosphatidylinositol-specific phospholipase C substrate having a detectable chromogenic or fluorescent free radical; and trimethoprim. The medium further includes a ?-lactam antibiotic. The medium further includes an antifungal agent. The method for detecting further includes inoculating a sample into the medium to culture the sample; and determining a detectable colony on the medium.

Abstract: A data generation method includes: with regard to a target in which a plurality of sets of reference source data and reference target data are connectable by using edges, extracting information that corresponds to a complete bipartite graph from the connected target; and when there are a plurality of sets of reference source data and a plurality of sets of reference target data that are the extracted information and that constitute the complete bipartite graph, generating a virtual node between the reference source data and the reference target data.

Abstract: A data generation method includes: with regard to a target in which a plurality of sets of reference source data and reference target data are connectable by using edges, extracting information that corresponds to a complete bipartite graph from the connected target; and when there are a plurality of sets of reference source data and a plurality of sets of reference target data that are the extracted information and that constitute the complete bipartite graph, generating a virtual node between the reference source data and the reference target data.

Abstract: A load-distribution system includes: a first computer to: determine a common portion of conditions among different models, and store one or more models in each of third computers that determines a state of an event, by applying a model stored in a built-in memory; and a second computer to: specify, from the third computers, a first third computer that stores a first model of the models including the identical-common portion, which corresponds to an attribute included in event information which has been input, specify, from the third computers, a second third computer that store a second model including a common portion identical to a common portion included in the first model, decide which one of the first third computer and the second third computer is caused to perform determining the state, and cause the decided one of the third computers to perform the processing of determining the state.

Abstract: A control method for controlling a distributed processing system that performs distributed processing using a plurality of devices is executed by a processor. The method including acquiring load information from each of the plurality of devices, identifying a source device and a destination device based on the acquired load information, the source device being a device of a migration source of an allocated processing operation and the destination device being a device of a migration destination of the allocated processing operation. The method further including selecting as a processing operation of a migration target from among a plurality of processing operations allocated to the source device, a processing operation with which a rate that data used by the processing operation at the source device is to be used at the destination device is relatively high or higher than a predetermined rate.

Abstract: A load-distribution system includes: a first computer to: determine a common portion of conditions among different models, and store one or more models in each of third computers that determines a state of an event, by applying a model stored in a built-in memory; and a second computer to: specify, from the third computers, a first third computer that stores a first model of the models including the identical-common portion, which corresponds to an attribute included in event information which has been input, specify, from the third computers, a second third computer that store a second model including a common portion identical to a common portion included in the first model, decide which one of the first third computer and the second third computer is caused to perform determining the state, and cause the decided one of the third computers to perform the processing of determining the state.

Abstract: A non-transitory computer-readable recording medium stores a program that causes a computer to execute a process including: performing a first conversion processing to convert a value indicating each event, and to convert, based on conversion information that indicates a group of the value and an identification value that corresponds to values belonging to the group; constructing information with occurrence probabilities by connecting identification values; performing second conversion processing to convert a value indicating each event included in event data, and to convert values that belong to a group indicated in the conversion information into an identical identification value corresponding to the group based on the conversion information; and detecting an anomaly based on a result of comparison between the constructed information and the identification value.

Abstract: A non-transitory computer-readable recording medium stores therein a detection program that causes a computer to execute a process including: extracting a predetermined event from events included in a past log and extracting a plurality of associated events associated with the predetermined event, for each of the predetermined event, over a predetermined time width designating the predetermined event as a starting point; creating pattern data corresponding to the predetermined event and the associated events; constructing a learning model in which the pieces of pattern data are connected in chronological order of the predetermined event; and detecting abnormality based on a collation result between the learning model and event data input according to an occurring event.

Abstract: A non-transitory computer-readable recording medium stores therein a program for causing a computer to execute a process. The process includes obtaining, for each predetermined time period, from packets transmitted in a system, a packet set with a combination of a transmission source and a transmission destination different from a predetermined combination of a transmission source and a transmission destination; extracting, for the each predetermined time period, from the packets transmitted in the system, a related packet related to the obtained packet; generating, based on the extracted related packet, information indicating a degree of propagation; and outputting the generated information.

Abstract: A computer-readable recording medium contains a program for causing a computer to execute a process. The process includes executing multiple change point detection processes that detect respective change points of first time-series data with multiple granularities that are different in the width of a unit time. A first detection pattern that indicates the order of detection of the change points is stored in a storage part. Change points of second. time-series data subsequent to the first time-series data are detected with the different granularities. An output is generated that differs depending on whether a second detection pattern matches the stored first detection pattern. The second detection pattern indicates the order of detection of the change points of the second time-series data.

Abstract: A computer obtains a load value relating to a detection process from each of a plurality of server devices that execute, in units of pieces of identification information, the detection process of a pattern of data distributed by a transfer device that distributes input data in accordance with identification information. When a load value obtained from a first server device among the plurality of server devices exceeds a specified allowable range, the computer executes a process for moving, in units of combinations, a combination of identification information and one pattern corresponding to the identification information from the first server device to a second server device among the plurality of server devices depending on whether load values of the first server device and the second server device respectively fall within the allowable range.

Abstract: A control method for controlling a distributed processing system that performs distributed processing using a plurality of devices is executed by a processor. The method including acquiring load information from each of the plurality of devices, identifying a source device and a destination device based on the acquired load information, the source device being a device of a migration source of an allocated processing operation and the destination device being a device of a migration destination of the allocated processing operation. The method further including selecting as a processing operation of a migration target from among a plurality of processing operations allocated to the source device, a processing operation with which a rate that data used by the processing operation at the source device is to be used at the destination device is relatively high or higher than a predetermined rate.

Abstract: A non-transitory computer-readable recording medium stores therein a program for causing a computer to execute a process. The process includes obtaining, for each predetermined time period, from packets transmitted in a system, a packet set with a combination of a transmission source and a transmission destination different from a predetermined combination of a transmission source and a transmission destination; extracting, for the each predetermined time period, from the packets transmitted in the system, a related packet related to the obtained packet; generating, based on the extracted related packet, information indicating a degree of propagation; and outputting the generated information.