Abstract: The increasing of the database dimension creates many problems, especially when we need to access, use and analyze data. The data overflow phenomenon in database environments imposes the application of different data mining methods, in order to find relevant information from large databases. A lot of data mining tools emerged in the last years. The standardization of data mining languages become in the last years a very important topic. The paper presents Predictive Model Markup Language (PMML) standards from the Data Mining Group. PMML, a standard language for defining data mining models, which allows users to develop models within one vendor's application, and use other vendors ' applications to visualize, analyze, eva...
Data mining has become the fastest growing topic of interest in business programs in the past decade...
peer reviewed“Scoring”, in general, is defined as the usage of mining models - based on historical d...
Applying machine learning and data mining to novel applications is cumbersome. This observation is t...
Nowadays Semantic Web is widely adopted standard of knowledge representation. Hence, knowledge engin...
License GPL (> = 2) Description The Predictive Model Markup Language (PMML) is an XML-based langu...
At KDD-2009 in Paris, a panel on open standards and cloud computing addressed emerging trends for da...
Over the past decade, we have seen tremendous interest in the application of data mining and statist...
An important motivation for the development of inductive databases and query languages for data mini...
Applying machine learning and data mining to novel applications is cumbersome. This observation is t...
An important motivation for the development of inductive databases and query languages for data mini...
The second edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Bet...
KDDML System Version: 2.0.16 beta Knowledge discovery in databases (KDD) covers a wide range of appl...
International audienceBayesian networks (BNs) represent a promising approach for the aggregation of ...
Database systems methodologies and technology can provide a significant support to data mining proce...
This project is concerned with problems of knowledge discovery in databases, in the concrete then is...
Data mining has become the fastest growing topic of interest in business programs in the past decade...
peer reviewed“Scoring”, in general, is defined as the usage of mining models - based on historical d...
Applying machine learning and data mining to novel applications is cumbersome. This observation is t...
Nowadays Semantic Web is widely adopted standard of knowledge representation. Hence, knowledge engin...
License GPL (> = 2) Description The Predictive Model Markup Language (PMML) is an XML-based langu...
At KDD-2009 in Paris, a panel on open standards and cloud computing addressed emerging trends for da...
Over the past decade, we have seen tremendous interest in the application of data mining and statist...
An important motivation for the development of inductive databases and query languages for data mini...
Applying machine learning and data mining to novel applications is cumbersome. This observation is t...
An important motivation for the development of inductive databases and query languages for data mini...
The second edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Bet...
KDDML System Version: 2.0.16 beta Knowledge discovery in databases (KDD) covers a wide range of appl...
International audienceBayesian networks (BNs) represent a promising approach for the aggregation of ...
Database systems methodologies and technology can provide a significant support to data mining proce...
This project is concerned with problems of knowledge discovery in databases, in the concrete then is...
Data mining has become the fastest growing topic of interest in business programs in the past decade...
peer reviewed“Scoring”, in general, is defined as the usage of mining models - based on historical d...
Applying machine learning and data mining to novel applications is cumbersome. This observation is t...