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ABOUT MULTI-VARIANT CLUSTERING AND ANALYSIS HIGH-DIMENSIONAL DATA |
Abstract: In this paper an example of multi-variant clustering is presented. The problems to be solved are
described and multi-variant clustering based on pyramidal multi-layer multi-dimensional stru |
| Article |
ALGORITHM FOR QUICK NUMBERING OF LARGE VOLUMES OF DATA |
Abstract: An original algorithm for numbering large datasets by means of Natural Language Addressing
(NLA) is presented in the paper. We use a counter to number different instances and store its curr |
| Article |
AN APPROACH TO VARIABLE AGGREGATION IN EFFICIENCY ANALYSIS |
Abstract: In the nonparametric framework of Data Envelopment Analysis the statistical properties of its
estimators have been investigated and only asymptotic results are available. For DEA estimators |
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ANALYZING THE LOCALIZATION OF LANGUAGE FEATURES WITH COMPLEX SYSTEMS TOOLS ... |
Abstract: Half of the world’s languages are in danger of disappearing before the century ends. Efficient
protection of these languages is difficult as their fate depends on multiple factors. The ro |
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ASSOCIATION RULE MINING WITH N-DIMENSIONAL UNIT CUBE CHAIN SPLIT TECHNIQUE |
Abstract: This paper considers the association rule mining problem and provides an alternative to APRIORI
algorithm, for solving this problem by splitting up the n-dimensional unit cube vertices into |
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ASTRONOMICAL PLATES SPECTRA EXTRACTION OBJECTIVES AND POSSIBLE SOLUTIONS ... |
Abstract: The process of spectra extraction into catalogs from astronomical images, its difficulties and usage on
the Digitized First Byurakan Survey (DFBS) plates are presented. The DFBS is the larg |
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CITATION-PAPER RANK DISTRIBUTIONS AND ASSOCIATED SCIENTOMETRIC INDICATORS ... |
Abstract: This paper is devoted to studying the interrelations between most widely used scientometric indicators
(in particular, Hirsch’s h-, Egghe’s g- and Zhang’s e- indexes) for several more |
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COMPOSITE BLOCK OPTIMIZED CLASSIFICATION DATA STRUCTURES |
Abstract: There are different applications that require finding in a set all points most similar to the given query
element. These are problems known as classification problems, or as best match, or |
| Article |
COMPUTATIONAL MODEL FOR SERENDIPITY |
Abstract: In recent years there have been various attempts and studies that are eager to serendipity in Computer Science. Authors such as Campos and Dias have tried to model the serendipity in order t |
| Article |
DEVELOPMENT OF DATABASE FOR DISTRIBUTED INFORMATION MEASUREMENT ... |
Abstract: The purpose of this work is the development of database of the distributed information measurement
and control system that implements methods of optical spectroscopy for plasma physics rese |
| Article |
HOW TO USE A DESKTOP VERSION OF A DBMS FOR CLIENT-SERVER APPLICATIONS |
Abstract: DBMS (Data base management systems) still have a very high price for small and middle enterprises
in Bulgaria. Desktop versions are free but they cannot function in multi-user environment. |
| Article |
INDIRECT SPATIAL DATA EXTRACTION FROM WEB DOCUMENTS |
Abstract: An approach for indirect spatial data extraction by learning restricted finite state automata from web
documents created using Bulgarian language are outlined in the paper. It uses heuristi |
| Article |
INDIRECT SPATIAL DATA EXTRACTION FROM WEB DOCUMENTS |
Abstract: An approach for indirect spatial data extraction by learning restricted finite state automata from web documents created using Bulgarian language are outlined in the paper. It uses heuristic |
| Article |
INDIRECT SPATIAL DATA EXTRACTION FROM WEB DOCUMENTS |
Abstract: An approach for indirect spatial data extraction by learning restricted finite state automata from web
documents created using Bulgarian language are outlined in the paper. It uses heuristi |
| Article |
INTEGRATED ENVIRONMENT FOR STORING AND HANDLING INFORMATION IN TASKS OF ... |
Abstract: Inductive modelling tools are widely used for solving problems of analysing economical, ecological, and other processes. Development of business intelligence systems based on inductive model |
| Article |
METHOD FOR EVALUATING OF DISCREPANCY BETWEEN REGULARITIES SYSTEMS IN ... |
Abstract: A new method of data analysis is discussed. Goal of represented techniques is complete and statistically valid comparing of regularities existing in two different groups of objects. It is su |
| Article |
METHOD OF DATA ANALYSIS BASED ON CLUSTERING IN “SYNDROMES” INDICATORS SPACE |
Abstract: A new data analysis method is discussed that is based on calculating syndromes by training data sets.
Syndrome are defined as sub-regions in feature space where mean values of target Y devi |
| Article |
METHODS FOR EVALUATING OF REGULARITIES SYSTEMS STRUCTURE |
Abstract: The new method for analysis of regularities systems is discussed. Regularities are related to effect of
explanatory variables on outcome. At that it is supposed that different levels of out |
| Article |
METHODS OF REGULARITIES SEARCHING BASED ON OPTIMAL PARTITIONING |
Abstract: The purpose of discussed optimal valid partitioning (OVP) methods is uncovering of ordinal or
continuous explanatory variables effect on outcome variables of different types. The OVP approa |
| Article |
MULTI-VARIANT PYRAMIDAL CLUSTERING AND ANALYSIS HIGH-DIMENSIONAL DATA |
Abstract: In this work an example of multi-variant clustering is presented. The problems to be solved are
described and multi-variant clustering based on pyramidal multi-layer multi-dimensional stru |
| Article |
ON A METHOD OF MULTI-ALGORITHMIC CLASSIFICATION |
Abstract: In this paper the calculating estimates model, based on a system of logical regularities to
solve the supervised classification problem is considered. A method of determining the weighting
|
| Article |
ONTOARM - A SYSTEM FOR STORING ONTOLOGIES BY NATURAL LANGUAGE ADDRESSING |
Abstract: In this paper we present results from experiments for storing RDF ontologies by means of Natural
Language Addressing. For experiments we have realized system OntoArM aimed to store RDF trip |
| Article |
PROCESSING SETS OF CLASSES’ LOGICAL REGULARITIES |
Abstract: The paper considers two methods for processing sets of logical regularities of classes (LRC)
found by training samples analysis. The first approach is based on the minimization of logical
|
| Article |
RDFARM - A SYSTEM FOR STORING LARGE SETS OF RDF TRIPLES AND QUADRUPLES BY ... |
Abstract: In this paper we present results from experiments for storing middle-size and large sets of RDF triples
and quadruples by means of Natural Language Addressing. For experiments we have reali |
| Article |
SELF-CITATIONS EFFECT ON SCIENTOMETRIC INDEXES |
Abstract: Scientometric studies on self-citations reveal variety of aspects, like attempted fraud approaching a
crime, a self-advertising tool, a standard scientific publication practice that saves s |
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