International Business Machines Corporation

Hammou Messatfa

Stephane Lorin

Christelle Pavillon

Jean-Louis Blanchard

Balakrishna Raghavendra Iyer

Jeonghee Yi

Atul Chadha

Jean Louis Blanchard

A method and system to evaluate the maintenance costs of products, having learning and application phases. Each phase is divided into two steps. The first analyzes product characteristics. The second is based on maintenance agreement conditions. During the first step of the learning phase, a first maintenance cost is estimated over the domain of a first variable representing product characteristics. Correction coefficients, based on other product characteristics, may be estimated to improve the first maintenance cost estimation. During the second step new correction coefficients are estimated according to maintenance agreement conditions. During the application phase, a first maintenance cost estimation is done according to the modality of the first variable, and adjusted depending on other product characteristics and maintenance agreement conditions.

System and method for evaluating maintenance costs of products

A method and system to evaluate residual value of leased products, comprising a learning phase and an application phase. Each phase has two steps. The first consists in analyzing lease or product main parameter while the second uses other lease conditions or product characteristics. Analysis is based on a grid wherein several specific points are determined during the learning phase. An extrapolation of these points according to the parameters during the application phase gives a first approximation of residual value, which is adjusted using lease conditions or product characteristics. During the learning phase, the system determines the relevant lease conditions or product characteristics and the associated corrections used during the application phase.

System and method for evaluating residual values of products

A system and a method for selecting potential purchasers from a historical collection of confirmed purchasers. The method allows definition of a set of purchasing variables in relation to the confirmed purchasers, and computation of both a plurality of re-purchasing ratios and a plurality of purchasing amounts using the set of purchasing variables. Potential purchasing amounts are generated by combining the previous results.

Method, system, and computer program for determining ranges of potential purchasing amounts, indexed according to latest cycle and recency frequency, by combining re-purchasing ratios and purchasing amounts

Method and system for selecting potential purchasers using purchase history

A system and method for analyzing the characteristics of sub-time periods of a time period over which a change of trend of a price evolution of a plurality of stock options occurs is disclosed. The system comprises means for storing data representative of the price evolution of the plurality of stock options and means for aggregating the data associated with each stock option and for creating for each stock option a standard description of the stock option's price for each sub-time period. Each standard description generated is converted into a candlestick pattern being chosen among a predetermined typology of a plurality of candlestick patterns. For each stock option, each standard description of a current sub-time period is also compared to the standard description of a previous sub-time period, and a comparison code chosen among a predetermined typology of a plurality of comparison codes is allocated to each comparison. The system further comprises means for marking each sub-time period of each stock option with a trend indicator using each standard description. The output of the converting means, the output of the comparing means and the output of the marking means are merged within merging means to generate a set of characteristics of the sub-time periods for the plurality of stock options.

System and method for stock options market management

A method, apparatus, and article of manufacture for a computer-implemented random reliability engine for computer-implemented association rule reduction using association rules for data mining application. The data mining is performed by the computer to retrieve data from a data store stored on a data storage device coupled to the computer. The data store has records that have multiple attributes. Attribute value associations are determined between attributes and their values. Attribute associations are determined from the determined attribute value associations. Attributes are selected based on the determined attribute associations for performing data mining.

Dimension reduction using association rules for data mining application

A method, apparatus, and article of manufacture for a computer-implemented random reliability engine for computer-implemented dimension reduction using association rules for data mining application. The data mining is performed by the computer to retrieve data from a data store stored on a data storage device coupled to the computer. The data store has records that have multiple attributes. The multiple attributes of a table are clustered to produce a plurality of sets of attributes. Each set of attributes is clustered to obtain data mining attributes.

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Levallois Perret, France

Hammou Messatfa