Abstract: A time series pattern generation unit extracts a key concept corresponding to a text of each data element of a plurality of time series data by referring to an extraction rule memory, and generates a plurality of time series patterns. A colony generation unit unifies a plurality of data elements having the same key concept and substantially the same time duration, and generates colonies of unified elements. In response to a selection of a first colony, a colony extraction unit specifies a second colony having a key concept contrary to the first colony, and extracts colonies earlier than the first colony and the second colony. A time reason extraction unit extracts a time reason as a divergence condition of the first colony from the second colony from the extracted colonies.

Abstract: A method for displaying multidimensional data on a screen of a display device, includes assigning a first dimension element, having been selected by a user from among the multidimensional data, to an axis; giving weights to a plurality of member regions using a function of number of data belonging to respective members of the first dimension element; defining the weighted member regions as a plurality of regions on the axis, which are partitioned for the respective members of the first dimension element; arranging the weighted member regions within the screen to form a table; and displaying, in each cell region corresponding to the weighted member region, data belonging to each cell region and belonging to a second dimension element having been selected by the user from among the multidimensional data. The second dimension element is different from the first dimension element.

Abstract: A time-series data analyzing apparatus which extracts a composite factor time-series pattern from time-series data. The apparatus includes a dividing device which divides the time-series data into pattern generation time-series data and pattern inspection time-series data which do not include pattern generation time-series data. A first generating device generates a transitional pattern including a support time data indicating a transition of support time and having a transition occurrence probability higher than a minimum occurrence probability in the pattern generation time-series data. A second generating device generates frequently appearing integrated transitional patterns. A second computing device computes cause-and-effect strength of each of the frequently appearing integrated transitional patterns using the pattern inspection time-series data.

Abstract: A program information providing system includes: a genre selecting unit that selects a selected program genre from among a plurality of program genres contained in program information based on a selection criterion obtained from frequency information that indicates frequencies of each of the program genres during a predetermined time period; a preference model generating unit that generates a preference model describing a causal relationship between a cause leading to a viewing and a viewed result, based on the selected program genre and viewing history information of the viewer; and a recommended program list generating unit that generates a recommended program list by using the preference model generated by the preference model generating unit.

Abstract: A time series data prediction/diagnosis apparatus includes a first creator creating a model series using time series data items sequentially input, a first calculator calculating a prediction error for the model series at each input of a new time series data item, a second creator creating a plurality of model series candidates when an error between the new time series data item and the model series is larger than a predetermined error, a selector selecting an optimal model series among the plurality of model series candidates and set the optimal model series to a new model series, a second calculator calculating a prediction value using the new model series, and a diagnosis unit diagnosing why the prediction value is led for an output value by the second calculator and add a diagnosis result to the prediction value.

Abstract: An apparatus stores history information of user in first memory, history information including viewing results corresponding to broadcast programs broadcast in the past, each viewing result indicating whether user views or not corresponding one of broadcast programs, stores, in second memory, preference model describing causal relationship between viewing results of user and causes leading to viewing results, stores, in third memory, program guide information including information concerning programs to be broadcast, calculates recommendation degree of each program to be broadcast based on preference model and program guide information, selects, from programs to be broadcast, recommended program based on recommendation degree of each program to be broadcast and viewing result in the history information, viewing result corresponding to one of broadcast programs having specific relationship with each of the programs to be broadcast in predetermined period in the past, and generates recommended program informati

Abstract: According to an aspect of the present invention, there is provided with a behavior determining apparatus including: an elemental-behavior extracting unit configured to extract, from trajectory data in which positions of a traveling body in an observation area are held at predetermined time intervals, L (L is an integer equal to or larger than 1) elemental behavior quantities among a stopping time, a stop frequency, a walking time, a running time, a direction change frequency, a sum of angle change quantities at the times when the traveling body changes a traveling direction, a sum of absolute values of angle change quantities at the times when the traveling body changes a traveling direction, a gravitational center set vector, and a pre-stop average speed; and a behavior determining unit configured to determine a behavior of the traveling body from the L elemental behavior quantities.

Abstract: A method for displaying multidimensional data on a screen of a display device, includes assigning a first dimension element, having been selected by a user from among the multidimensional data, to an axis; giving weights to a plurality of member regions using a function of number of data belonging to respective members of the first dimension element; defining the weighted member regions as a plurality of regions on the axis, which are partitioned for the respective members of the first dimension element; arranging the weighted member regions within the screen to form a table; and displaying, in each cell region corresponding to the weighted member region, data belonging to each cell region and belonging to a second dimension element having been selected by the user from among the multidimensional data. The second dimension element is different from the first dimension element.

Abstract: A behavior prediction apparatus includes an input unit inputting sole behaviors of a human and simultaneous occurrence probability of behaviors, a behavior discrimination unit specifying a behavior pattern based on correspondence between behaviors corresponding to simultaneous occurrence probability and actual behaviors, an information generation/recording unit generating behavior history information of the specified behavior pattern, and to generate and record information of each of a behavior transition probability, a behavior time and a behavior occurrence probability based on the behavior history information, a behavior prediction unit obtaining a starting behavior from the behavior occurrence probability, select another behavior pattern in order of behavior occurrence probability, and add the behavior time to the selected behavior pattern to output behavior prediction information, and a social value calculation unit obtaining a social value per unit time using the behavior prediction information, social

Abstract: A method for displaying multidimensional data on a screen of a display device, includes assigning a first dimension element, having been selected by a user from among the multidimensional data, to an axis; giving weights to a plurality of member regions using a function of number of data belonging to respective members of the first dimension element; defining the weighted member regions as a plurality of regions on the axis, which are partitioned for the respective members of the first dimension element; arranging the weighted member regions within the screen to form a table; and displaying, in each cell region corresponding to the weighted member region, data belonging to each cell region and belonging to a second dimension element having been selected by the user from among the multidimensional data. The second dimension element is different from the first dimension element.

Abstract: A method for displaying multidimensional data on a screen of a display device, includes assigning a first dimension element, having been selected by a user from among the multidimensional data, to an axis; giving weights to a plurality of member regions using a function of number of data belonging to respective members of the first dimension element; defining the weighted member regions as a plurality of regions on the axis, which are partitioned for the respective members of the first dimension element; arranging the weighted member regions within the screen to form a table; and displaying, in each cell region corresponding to the weighted member region, data belonging to each cell region and belonging to a second dimension element having been selected by the user from among the multidimensional data. The second dimension element is different from the first dimension element.

Abstract: A time-series data analyzing apparatus which extracts a composite factor time-series pattern from time-series data. The apparatus includes a dividing device which divides the time-series data into pattern generation time-series data and pattern inspection time-series data which do not include pattern generation time-series data. A first generating device generates a transitional pattern including a support time data indicating a transition of support time and having a transition occurrence probability higher than a minimum occurrence probability in the pattern generation time-series data. A second generating device generates frequently appearing integrated transitional patterns. A second computing device computes cause-and-effect strength of each of the frequently appearing integrated transitional patterns using the pattern inspection time-series data.

Abstract: A viewing recommendation apparatus includes an acquisition unit configured to acquire first broadcast program information for each of first broadcast programs to be broadcasted, a storage unit configured to store a plurality of previously broadcasted second broadcast programs in correspondence with second broadcast program information, a calculation unit configured to calculate an urgency in accordance with the first broadcast program information and the second broadcast program information to obtain a plurality of urgencies, the urgency indicating a degree to view a broadcast program earlier, and a generation unit configured to generate a recommendation list of programs to be viewed based on levels of the urgencies.

Abstract: A time series pattern generation unit extracts a key concept corresponding to a text of each data element of a plurality of time series data by referring to an extraction rule memory, and generates a plurality of time series patterns. A colony generation unit unifies a plurality of data elements having the same key concept and substantially the same time duration, and generates colonies of unified elements. In response to a selection of a first colony, a colony extraction unit specifies a second colony having a key concept contrary to the first colony, and extracts colonies earlier than the first colony and the second colony. A time reason extraction unit extracts a time reason as a divergence condition of the first colony from the second colony from the extracted colonies.

Abstract: A method for displaying multidimensional data on a screen of a display device, includes assigning a first dimension element, having been selected by a user from among the multidimensional data, to an axis; giving weights to a plurality of member regions using a function of number of data belonging to respective members of the first dimension element; defining the weighted member regions as a plurality of regions on the axis, which are partitioned for the respective members of the first dimension element; arranging the weighted member regions within the screen to form a table; and displaying, in each cell region corresponding to the weighted member region, data belonging to each cell region and belonging to a second dimension element having been selected by the user from among the multidimensional data. The second dimension element is different from the first dimension element.

Abstract: An analogical reasoning device comprises a knowledge base to store a group of knowledge data described in non-logic symbols and divided into more than one domains according to a certain division standard, an analogy detector to compare the knowledge data in one domain with the those in other domains stored in the knowledge base and determine similar domains containing the knowledge data which can be made identical by replacing a part of the non-logic symbols and an analogical reasoning unit to make analogy for a new knowledge data for the domains determined similar by the analogy detector.