Use a comprehensive Data Science platform to integrate all analytical tasks in one place
Speed up data exploration and ML model development
We streamline the work of Data Science and Machine Learning teams
AdvancedMiner supports every stage of the Data Mining process by providing an integrated graphical workspace
Data processing
- Extraction of data from various database systems and files (handling thousands of variables and millions of records)
- Built-in data quality improvement systems (standardization, validation, enrichment)
- Merging data sets and data sampling
- Splitting into training, validation, and test sets
- Variable selection (e.g., Entropy, VIF, stepwise / backward / forward algorithms)
- Variable transformation (e.g., normalization, PCA, imputation)
- Interactive preview of variable distribution
- Data export with editable charts to MS Excel
- Managing the role of variables in the analysis process
- [For PL] Text data indexing – tokenization, correction, lemmatization (stemming), stop words, N-grams, indexing, sentiment analysis
- [For PL] Variable quality enhancement – synonym dictionary, keywords, shallow parsing, morphological disambiguation, named entity extraction
Modeling
- Classification – logistic regression, regularized logistic regression, MARS, discriminant analysis, decision trees, random forests, XGBoost, bivariate probit, SOM, multilayer perceptron, classifiers ensemble
- Regression – linear regression, regularized linear regression, regression trees, MARS
- Segmentation / unsupervised learning – k-means, Kohonen SOM
- Neural networks
- Time series analysis
- Survival analysis
- Graph models, network connections analysis
- Ability to create custom statistical algorithms
- Interactive model visualization
- Model integration with external IT applications using scoring code
- Model export as scoring code
Validation and model analysis
- Versioning and tracking experiment results
- Variable significance analysis
- Discriminant analysis
- Model quality metrics: ACC, AUC, MSE
- Visual model comparison: LIFT, ROC
- Statistical tests – Anderson-Darling, Chi-Square, Cramer-von Mises, F-Test, Kolmogorov-Smirnov, Kruskal-Wallis, Kuiper, Levene's, Mann-Whitney, Pearson’s, Shapiro-Wilk, Sigel-Tukey, Sign, Spearman, Student t-test, Wilcoxon
- Statistical distributions
Do you want to explore all the features of AdvancedMiner?
AdvancedMiner ensures a flexible and efficient infrastructure
- Client-server architecture with parallel computation and task execution capabilities (including automatic queuing) and team collaboration support
- Proprietary high-performance GDBase with no table size limitations, featuring a built-in library of analytical functions (e.g., sampling selection methods, statistical functions)
- Ability to connect to external databases using JDBC/ODBC drivers and import data from external databases into the internal GDBase
- A single integrated environment – ability to connect multiple different databases across various technologies to multiple servers/clients
- A complete set of statistical, data mining, and ML algorithms – classification, approximation, segmentation, time series modeling, graph analysis, and many more
AdvancedMiner offers scalability, ease of use, and comprehensive support for analytical tasks
Client-server architecture
Team collaboration, parallel computation, and server scalability capabilities
High-performance database
Fast ETL processes, easy data access, no limitations on the number of columns or rows
Flexible technology selection
Combining different languages in a single script (Python, SQL, Java, Groovy, R)
Graphical interface
Wizards, Workflow mode, and visualizations supporting DS/ML analysis
Diverse algorithms
Classification, regression, time series, clustering, NLP, graph data analysis, and more
Data quality mechanisms
Built-in data quality improvement systems (standardization, validation, enrichment)
Start building ML models with AdvancedMiner
| Demo | Full version | |
|---|---|---|
| Usage period | Unlimited | License |
| Supported data formats | CSV, TXT, MS Excel | CSV, TXT, MS Excel, JDBC/ODBC Databases |
| Graphical User Interface (GUI) | yes | yes |
| AdvancedMiner SNA module | yes | yes |
| Custom scripts and processes | yes | yes |
| RAM memory | max. 1GB | unlimited |
| Number of concurrent tasks | one | unlimited |
| Scoring code generation/export | no | yes |
| Database limitations | 100 columns and 100,000 rows | unlimited (depends on the database) |
| Technical support | email only | full support |
Trusted by 50+ major financial institutions, telecommunications, e-commerce and logistics companies
Collaboration with Algolytics has allowed us to focus on what is crucial for us – developing our financial products. Algolytics technology has provided us with tools for quick and accurate risk assessment of our clients, enabling us to significantly increase our operational efficiency and deliver value to our clients faster.
SERGII DEMCHUK
CEO, Novalend
Get the free version of AdvancedMiner
Fill out the form and test AdvancedMiner.
Free version parameters:
- Maximum usage: 1 GB RAM
- Ability to process only one task at a time
- No option to generate scoring code
- Support for only one database (Gdbase – AdvancedMiner's internal database)
- Database limitations: up to 100 columns and 100,000 rows
