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SOFTWARE EVALUATION CRITERIA
Monday, November 23, 2009
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> Software Evaluation Criteria >
BI
> Analytics >
Data Text And Web Mining Page: 1
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2D and 3D multidimensional scaling on either joint frequency or co-occurrence of words or categories
(4
product(s) support this feature
)
Accelerated failure time models
(8
product(s) support this feature
)
Accesses data held in ODBC-compliant database
(11
product(s) support this feature
)
Accesses data in flat files SAS data sets Microsoft Excel IBM Visual Warehouse and Oracle Express
(11
product(s) support this feature
)
Accesses data in remote databases
(11
product(s) support this feature
)
Accesses numerous forms of textual data such as PDF extended ASCII text HTML Microsoft Word and OpenDocument format
(9
product(s) support this feature
)
Accesses web site data
(11
product(s) support this feature
)
Accumulates data into any frequency time series
(11
product(s) support this feature
)
Aggregates transactional data into time series format
(11
product(s) support this feature
)
Alphanumeric variables can be stored in the same file as all other numeric variables
(8
product(s) support this feature
)
Applies filters on records of the data file to restrict the analysis to specific subgroups
(8
product(s) support this feature
)
ARIMAX models
(9
product(s) support this feature
)
Attaches QDA Miner codes to retrieved segments
(4
product(s) support this feature
)
Attribute-based predictive input metrics
(9
product(s) support this feature
)
Automatic generation of model selection lists
(9
product(s) support this feature
)
Automatic indicator variable creation
(8
product(s) support this feature
)
Automatic outlier detection
(9
product(s) support this feature
)
Automatic regressor and event selection and model specification
(9
product(s) support this feature
)
Automatic variable transformations log square root logistic Box-Cox
(9
product(s) support this feature
)
Automatically selects appropriate algorithms for prediction clustering and modeling etc
(10
product(s) support this feature
)
Automatically selects the best-fitting forecasting model for each time series
(9
product(s) support this feature
)
Balanced and unbalanced designs
(9
product(s) support this feature
)
Bioassay analysis
(9
product(s) support this feature
)
Browses and interactively creates splits in decision trees
(8
product(s) support this feature
)
Browses collapses and expands decision rules
(9
product(s) support this feature
)
Browses the importance of the predictors decision trees and rule induction techniques including CHAID exhaustive CHAID QUEST and C and RT
(8
product(s) support this feature
)
By-group processing for flexible forecasting hierarchies
(9
product(s) support this feature
)
Calls external text pre-processing to EXE or to DLL
(5
product(s) support this feature
)
Canonical correlation and discriminant analysis
(8
product(s) support this feature
)
Captures and distills the most important underlying information within a document collection
(5
product(s) support this feature
)
Case filtering on any numeric or alphanumeric field and on code occurrence with AND OR and NOT Boolean operators
(5
product(s) support this feature
)
Categorizes Word based on Boolean AND OR NOT and proximity rules NEAR AFTER BEFORE
(4
product(s) support this feature
)
Categorizes words or phrases using existing or user-defined dictionaries
(4
product(s) support this feature
)
Chooses from detection algorithms including GRI Apriori sequence and CARMA
(8
product(s) support this feature
)
Classify fuzzy logic classification
(9
product(s) support this feature
)
Cluster
(10
product(s) support this feature
)
Cluster documents downstream in the process flow diagram using K-means or SOM-Kohonen clustering
(3
product(s) support this feature
)
Cluster localization of anomalies
(9
product(s) support this feature
)
Combine results for statistically valid inferences
(8
product(s) support this feature
)
Combines multiple models or one model can be used to build a second model
(10
product(s) support this feature
)
Combines quantitative and qualitative data with text analysis to improve predictions
(6
product(s) support this feature
)
Commercial database vendors such as FAME DRI Standard and Poors COMPUSTAT Haver Analytics and CRSP
(10
product(s) support this feature
)
Compares performance of multiple models and deploy score code to categorize new documents
(5
product(s) support this feature
)
Comparison of survival distributions
(8
product(s) support this feature
)
Compound word splitting into distinct sub-terms
(4
product(s) support this feature
)
Computation of sample sizes and characterization of power for t-tests
(8
product(s) support this feature
)
Computes exact probabilities for many nonparametric statistics
(8
product(s) support this feature
)
Concise notation based on familiar ANSI standard SQL including joins grouping sorting and set operations
(5
product(s) support this feature
)
Conditional predictive input metrics
(9
product(s) support this feature
)
Confidence intervals
(8
product(s) support this feature
)
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