Abstract: A table acquiring means 381 acquires a first table including prediction objects and first attributes, and a second table including second attributes. A receiving means 382 receives a similarity function and condition for similarity used to calculate the similarity between the first attribute and the second attribute. A feature generating means 383 generates feature candidates able to affect a prediction object using a combination condition for combining a record in the first table including the value of a first attribute satisfying the condition with a record in the second table including the value of a second attribute satisfying the similarity calculated with the value of the first attribute and the value of the second attribute using the similarity function, and using a reduction method for a plurality of records in the second table and a reduction condition represented by the column to be aggregated. A feature selecting means 384 selects an optimum feature for the prediction from the feature candidates.

Abstract: A method of extracting a combination of a drug and an adverse event related to the drug includes: for each of positive example combinations, negative example combinations and combinations that are neither positive examples nor negative examples, which are combinations of drug and disease, extracting medical events from medical information data about a patient and generating attribute data based on time-series information about the medical events; and learning a discriminant model based on attribute data of the positive and negative examples; and inputting attribute data corresponding to the combinations that are neither positive examples nor negative examples to the discriminant model to determine scores.

Abstract: A table acquiring means 181 acquires a first table including prediction targets and first geographic attributes, and a second table including second geographic attributes. A receiving means 182 receives geographic relationships and degrees of geographic relationships. A combination condition generating means 183 generates a combination condition for combining a record included in the first table with a record included in the second table so that the relationship between the value of a first geographic attribute and the value of a second geographic attribute satisfies the degree of geographic relationship.

Abstract: A table acquiring means 381 acquires a first table including prediction objects and first attributes, and a second table including second attributes. A receiving means 382 receives a similarity function and condition for similarity used to calculate the similarity between the first attribute and the second attribute. A feature generating means 383 generates feature candidates able to affect a prediction object using a combination condition for combining a record in the first table including the value of a first attribute satisfying the condition with a record in the second table including the value of a second attribute satisfying the similarity calculated with the value of the first attribute and the value of the second attribute using the similarity function, and using a reduction method for a plurality of records in the second table and a reduction condition represented by the column to be aggregated. A feature selecting means 384 selects an optimum feature for the prediction from the feature candidates.

Abstract: To reduce the overall computation time of a batch of queries, multiple query optimization in SQL-on-Hadoop systems groups multiple MapReduce jobs converted from queries into a single one, thus avoiding redundant computations by taking sharing opportunities of data scan, map function and map output. SQL-on-Hadoop converts a query into a DAG of MapReduce jobs and each map function is a part of query plan composed of a sequence of relational operators. As each map function is a part of query plan which is usually complex and heavy, disclosed method creates a cost model to simulate the computation time which takes both I/O cost for reading/writing input file and intermediate data and CPU cost for the computation of map function into consideration. A heuristic algorithm is disclosed to find near-optimal integrated query plan for each group based on an observation that each query plan is locally optimal.

Abstract: An abnormality detection apparatus (2000) handles tasks allocated to a plurality of processing servers (3200) as processing targets in a distribution system (3000) having the processing servers (3200). A history acquisition unit (2020) acquires progress history information which is information regarding progress of the plurality of tasks at a plurality of time point of recording. A target range determination unit (2040) determines a target range. A distribution calculation unit (2060) calculates a task speed distribution which is a probability distribution of processing speeds of the tasks using the progress history information regarding the plurality of tasks. An abnormality determination unit (2080) compares a processing speed of a task to be determined with the task speed distribution to thereby determine whether or not the processing speed of the task to be determined is abnormal.

Abstract: To reduce the overall computation time of a batch of queries, multiple query optimization in SQL-on-Hadoop systems groups multiple MapReduce jobs converted from queries into a single one, thus avoiding redundant computations by taking sharing opportunities of data scan, map function and map output. SQL-on-Hadoop converts a query into a DAG of MapReduce jobs and each map function is a part of query plan composed of a sequence of relational operators. As each map function is a part of query plan which is usually complex and heavy, disclosed method creates a cost model to simulate the computation time which takes both I/O cost for reading/writing input file and intermediate data and CPU cost for the computation of map function into consideration. A heuristic algorithm is disclosed to find near-optimal integrated query plan for each group based on an observation that each query plan is locally optimal.

Abstract: According to an embodiment, a three-dimensional modeling head includes a heat insulating member, a light emitter, a cylindrical member, and a light absorbing member. The heat insulating member has a sealed space therein with a curved wall surface that reflects light. The light emitter emits light and has at least a light emitting face provided in the sealed space. The cylindrical member is placed to extend through the heat insulating member via the sealed space and is long in a first direction in which thermoplastic resin is ejected. The light absorbing member adsorbs light and is provided in contact with at least part of the cylindrical member in the sealed space and in an area of the sealed space containing a focusing position on which at least part of light emitted by the light emitter and reflected by the wall surface is focused.

Abstract: A method of extracting a combination of a drug and an adverse event related to the drug includes: for each of positive example combinations, negative example combinations and combinations that are neither positive examples nor negative examples, which are combinations of drug and disease, extracting medical events from medical information data about a patient and generating attribute data based on time-series information about the medical events; and learning a discriminant model based on attribute data of the positive and negative examples; and inputting attribute data corresponding to the combinations that are neither positive examples nor negative examples to the discriminant model to determine scores.

Abstract: Even in circumstances where the size of training data is more than the memory size of a calculator, CD method can be used. A data management apparatus (101) according to the present invention includes a blocking unit (20) which divides training data representing matrix data into a plurality of blocks, and generates meta data indicating a column for which each block holds a value of the original training data, and a re-blocking unit (40) which, when a component of a parameter learned from the training data converges to zero, replaces an old block including an unnecessary column, among the plurality of blocks, with a block from which the unnecessary column has been removed, and regenerates the meta data.

Abstract: Provided is a join processing device that performs a similarity join process to plural tuples using an edit distance threshold value ? (positive integer). The join processing device includes a join processing unit that excludes, from a target of edit distance calculation, a pair of tuples that do not have any common character in an end portion ranging from a head character or a tail character to a (?+1)th character in a join key string in each of the tuples.

Abstract: An abnormality detection apparatus (2000) handles tasks allocated to a plurality of processing servers (3200) as processing targets in a distribution system (3000) having the processing servers (3200). A history acquisition unit (2020) acquires progress history information which is information regarding progress of the plurality of tasks at a plurality of time point of recording. A target range determination unit (2040) determines a target range. A distribution calculation unit (2060) calculates a task speed distribution which is a probability distribution of processing speeds of the tasks using the progress history information regarding the plurality of tasks. An abnormality determination unit (2080) compares a processing speed of a task to be determined with the task speed distribution to thereby determine whether or not the processing speed of the task to be determined is abnormal.

Abstract: According to one embodiment, in an electronic apparatus, a first pair of electrodes has a first electrode and a second electrode. A second pair of electrodes is disposed in parallel with the first pair, and has a third electrode and a fourth electrode. A third pair of electrodes is disposed between the first pair and the second pair in parallel with the first pair and the second pair, and has a fifth electrode and a sixth electrode. A first wire electrically connects the first electrode and the second electrode. A second wire electrically connects the third electrode and the fourth electrode. A third wire electrically connects the fifth electrode and the sixth electrode. A gel covers the first wire, the second wire, and the third wire. A first detection unit detects a break status of the first wire or the second wire.

Abstract: According to an embodiment, a three-dimensional modeling head includes a heat insulating member, a light emitter, a cylindrical member, and a light absorbing member. The heat insulating member has a sealed space therein with a curved wall surface that reflects light. The light emitter emits light and has at least a light emitting face provided in the sealed space. The cylindrical member is placed to extend through the heat insulating member via the sealed space and is long in a first direction in which thermoplastic resin is ejected. The light absorbing member adsorbs light and is provided in contact with at least part of the cylindrical member in the sealed space and in an area of the sealed space containing a focusing position on which at least part of light emitted by the light emitter and reflected by the wall surface is focused.

Abstract: Provided is a join processing device that performs a similarity join process to plural tuples using an edit distance threshold value ? (positive integer). The join processing device includes a join processing unit that excludes, from a target of edit distance calculation, a pair of tuples that do not have any common character in an end portion ranging from a head character or a tail character to a (?+1)th character in a join key string in each of the tuples.

Abstract: According to one embodiment, in an electronic apparatus, a first pair of electrodes has a first electrode and a second electrode. A second pair of electrodes is disposed in parallel with the first pair, and has a third electrode and a fourth electrode. A third pair of electrodes is disposed between the first pair and the second pair in parallel with the first pair and the second pair, and has a fifth electrode and a sixth electrode. A first wire electrically connects the first electrode and the second electrode. A second wire electrically connects the third electrode and the fourth electrode. A third wire electrically connects the fifth electrode and the sixth electrode. A gel covers the first wire, the second wire, and the third wire. A first detection unit detects a break status of the first wire or the second wire.

Abstract: Discloses are an etching solution for a multilayer thin film having a copper layer and a molybdenum layer contained therein; and an etching method of a multilayer thin film having a copper layer and a molybdenum layer contained therein using the same. Specifically disclosed are an etching solution for a multilayer thin film having a copper layer and a molybdenum layer contained therein, which includes (A) hydrogen peroxide, (B) a fluorine atom-free inorganic acid, (C) an organic acid, (D) an amine compound having a carbon number of from 2 to 10 and having an amino group and a hydroxyl group in a total group number of 2 or more, (E) an azole, and (F) a hydrogen peroxide stabilizer, and which has a pH of from 2.5 to 5; and an etching method using the same.