Fujitsu Corporation

Ryo Ochitani

Hironobu Kitajima

Fumihito Nishino

Sachiko Onodera

Morio Ikesaka

Nobuhiro Yugami

Koji Maruhashi

Isao Namba

Jun Ibuki

Takashi Yanase

Hidesato Matsuoka

Wakako Kashino

Minako Hashimoto

A classification method executed by a computer for classifying a plurality of records into a plurality of groups, the classification method includes: acquiring the plurality of records, the plurality of records including a variable value respectively; tentatively classifying the plurality of records into the plurality of groups; calculating a commonality value indicating a degree of commonality of the variable value among the plurality of groups, based on the variable value included in each of the tentatively classified groups; classifying the plurality of records into the plurality of groups based on the commonality value; and outputting a result of the classifying.

Classification device and classification method

Information of an action of fact confirmation performed between nodes that are objects relating to fact confirmation in an application procedure is read from a predetermined storage unit that previously stores whether an action of fact confirmation is an action of operating information or an action of confirming information, and based on the read information of the action, when a fraud is committed in an action of operating information, reliability of the application procedure is calculated based on a probability of a detection of a fraud in an action of confirming information performed in a node connected to the action of operating information.

Computer program product, method, and apparatus for calculating reliability of an application procedure for fraud using an estimated probability of detection of fraud

A reliability evaluation device includes a route acquiring unit that acquires a route from a starting point to a verification point of an application procedure as a group of paths indicative of relation between objects used for identity verification at each step based on data that includes the paths, a direction in which information is transferred, and path reliabilities indicative of accuracy of transferring the information, and a verification-point-reliability computing unit that computes reliability of the application procedure at the verification point by multiplying the path reliabilities by the reliability at the starting point.

Reliability evaluation device, reliability evaluation method, and computer program product

The sound reproducing apparatus includes a replay section receiving unit that receives a request for reproducing a specific part of sound file from a user, a replay section determining unit that determines a replay section based on the request and conversation structure information stored in a sound data holding unit, and a reproducing unit that reproduces the replay section determined by the replay section determining unit.

Sound reproducing apparatus

A computer-readable recording medium storing a program to make a computer execute a process, the process including generating normal/abnormal patterns of paths between a start point node of application procedure and a reliability verification point node based on a node information that stores an object related to a fact confirmation at application procedure as a node and a path information that stores processing executed between nodes as path; determining whether it is possible to reach the verification point node from the start point node only via normal paths regarding each normal/abnormal pattern; generating a calculation expression to find the reliability of the application procedure as the total generation probability of the normal/abnormal patterns which was determined as reachable; and calculating the reliability of the application procedure by applying the probability of normality of the paths stored corresponding to each path in the path information.

Reliability evaluation program and reliability evaluation device

A transaction brokerage method and system brokering a transaction between an information transmitting terminal and an information receiving terminal, including registering a plurality of the information receiving terminals in advance; receiving a transaction request transmitted from the information transmitting terminal, the transaction request including the expiration time of the transaction request; and selecting one or more of the registered information receiving terminals within a predetermined range as the recipients of the transaction request and transmitting the transaction request. Transaction acceptances received within the expiration time included in the transaction request are validated and transmitted to the information transmitting terminal and a transaction possible or impossible indication is transmitted to the information receiving terminals.

Method and apparatus for transaction brokerage and program recording medium thereof

A document anonymity setting device comprises a document input means inputting a document, a specificity calculating means extracting an expression specifying a person from the input document and for calculating a specificity to evaluate a degree of specificity at which the expression specifying a person, and an anonymity setting processing means rewriting with anonymity setting a expression in the input document having a specificity which is greater than a predetermined threshold. The specificity calculating unit extracts a person name and a modification expression from the input document and calculates a specificity to evaluate a degree of specificity at which the person name and modification expression thus extracted can specify a person. The anonymity setting processing unit rewrites a person name and a modification expression which have a specificity greater than a predetermined threshold through rewriting to meaningless expression, rewriting to low specificity setting, and rewriting to encrypted expression.

Document anonymity setting device, method and computer readable recording medium recording anonymity setting program

A data extracting unit extracts from a text fact data stipulated by a combination of a target object, an attribute name, and an attribute value. A data aggregating unit groups data similar to the extracted fact data throughout the text, and aggregates the number of occurrences. An inconsistency detecting unit detects an inconsistent data group which cannot be consistent by scanning a data set aggregated by the data aggregating unit. A correctness/incorrectness determining unit determines which data is correct within the inconsistent data group. A final data integrating unit integrates and outputs correct data. Additionally, the degree of reliability is assigned to fact data when the fact data is extracted from a text, and also a correctness/incorrectness determination of each data within a data group can be made by using the degree of reliability assigned to the fact data.

Fact data unifying method and apparatus

In a questionnaire conducting apparatus, a questionnaire conducting section presents a questionnaire to a respondent terminal of a questionnaire respondent on a Web screen via a network. A questionnaire response collector collects responses to the questionnaire for analysis, and a questionnaire corrector corrects the questionnaire based on a result of collecting and analyzing the responses to the questionnaire. The questionnaire conducting section conducts a questionnaire to the questionnaire respondent based on the corrected questionnaire.

Program, apparatus, and method of conducting questionnaire

A word id extracted from dated document data, and the number of occurrences of the word can be obtained by adding up the number of the extracted word for each field and period. Furthermore, a word indicating a large number of occurrences in each field and period is extracted as a characteristic word. When a user specifies a field and a period, characteristic words in the document data in the specified period are displayed. When the user selects a specific characteristic word, the header, etc. of the document data containing the characteristic word is displayed.

Apparatus and method for presenting document data

The accuracy of retrieving or clipping documents is improved. A document to be processed is input via a document input section. Event specifying means looks up knowledge information stored in knowledge information storing means to specify the type of an event described in the input document. Attribute value extracting means extracts, from the document, attribute values of attributes relating to the specified event. Correlating means performs a process of correlating the attribute values extracted by the attribute value extracting means with entities in the real world. Document storing means stores information (normalized information) generated by the correlating means and the document or information specifying a storage location thereof in a manner associated with each other. Document extracting means compares a query input from a user interface section with the normalized information and extracts, from the document storing means, matching documents or information specifying their storage locations.

Document processing system and recording medium

When an operation such as a move, name change, copy, deletion, etc. is performed for document data, a history manager stores history information of the operation in a history table. Upon receipt of the notification that retrieval of the document data is unsuccessfully made from a document processing application, the history manager searches the history table, and returns new identification information stored after an update operation is performed. The document processing application obtains the new identification information, and retrieves the corresponding document data from a file system.

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Kawasaki, Japan

Ryo Ochitani