Abstract: An information processing device 1 includes a calculation unit 13 that calculates a degree of overlapping between a probability distribution of each probability value included in a row i or a column i of a semantic similarity matrix, and a probability distribution of respective probability values included in a row j or a column j (j?i) of the waveform similarity matrix as a degree of unexpectedness between an i-th word and a j-th word using the semantic similarity matrix in which elements are probability values in one row or one column of a semantic similarity between words of a plurality of words and the waveform similarity matrix in which elements are probability values in one row or one column of a waveform similarity between time-series data of time-series data related to the words.

Abstract: A device includes: a data set including multiple sets in which two pieces of time-series data are respectively recorded; an analysis unit that obtains evaluation values representing a relationship between the two pieces by different analysis methods for each set; a combination extraction unit that extracts combinations of the sets having different trends in change in the evaluation values associated with the analysis methods; a grouping unit that classifies the analysis methods according to the evaluation values for each combination, and records results associated with the sets; an inquiry unit that presents the time-series data of each set to a user, and inquires which sets have similar time-series data; a scoring unit that adds a score of the analysis method belonging to the group having a better evaluation value for the set determined to be more similar; and a selection unit that repeats each process and selects an analysis method.

Abstract: Information indicating what technology and service are necessary to solve issues is provided by a device including dictionaries recording words having similar meanings and concepts concept co-occurrences in which two of the concepts are combined, a classification of each of technology names and service names, and a score assigned to each of the classifications, a sentence input unit receiving a sentence representing an issue, a morpheme analysis unit performing morpheme analysis on the sentence and output morphemes, a concept conversion unit extracting a word from the morphemes and convert the extracted word to a concept, a classification identifying unit configured to sum scores of respective classifications in which a set of the extracted concepts and the concept co-occurrence match and identify the classification having a highest summed score, and a recommendation unit configured to obtain, from the name list, the technology names and service names belonging to the identified classification.

Abstract: A document creation assistance apparatus includes a tree structure generation unit configured to analyze a learning document for system development and generate a tree structure representing separate sections of the learning document, a frequency calculation unit configured to calculate, per leaf node of the tree structure, a frequency vector of a word that appears, a question extraction unit configured to extract, according to the frequency vector, a word about which a user is to be questioned, a question presentation unit configured to present a question about the extracted word to the user and receive an answer, and a document generation unit configured to generate a document with the extracted word and the answer set in a section of the separate sections of the leaf node according to the separate sections of the tree structure.

Abstract: A business flow creation support device 1 includes a generation unit 11 that receives an effect and a sentence indicating what is desired to be realized, which are input by a user, and generates a flow including a plurality of clauses obtained by morphologically analyzing the sentence, a presentation unit 12 that acquires scores indicating to which fields the effect and words included in the clauses are close, respectively, and presents, to the user, a template of a business flow in a field having a high total score, and a creation support unit 14 that support creation of the business flow corresponding to the effect and the sentence.

Abstract: Information indicating what technology and service are necessary to solve issues is provided.

Abstract: A data processing apparatus includes a memory, an error detection circuit, a timing adjustment circuit and a terminal. The error detection circuit detects an error based on an output of the memory to output an error detection signal. The timing adjustment circuit enlarges a pulse width of a pulse signal which is generated at first after a start of a predetermined operation among pulse signals included in the error detection signal. The terminal outputs an output of the timing adjustment circuit when a test for the memory is performed. It is possible to report an occurrence of an error reliably without increasing the number of output terminals, test patterns or test time.

Abstract: A semiconductor memory device has a memory circuit, a code tagging section, an error processing section, and a changeover circuit. The memory circuit writes and reads data into and from a memory area designated by an address signal. The code tagging section includes a write data register and an error correction code generation circuit for tagging an error checking code to input data, and sending it to the memory circuit as write data. The error processing section includes an error detection circuit and an error correction circuit for checking presence of an error after receiving read data from the memory circuit and correcting it when detected. The changeover circuit sends data from the code tagging section to the error processing section, and sends data from the code tagging section to the error processing section only when the address signal does not designate a memory area in the memory circuit.