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Concept Mining Description

2019-10-02T05:10:26+00:00
  • What is concept mining? - Definition from

    Concept mining is the process of searching documents or unstructured text for ideas and topics. Similar to text mining and data mining, concept mining involves creating a mining model and applying artificial intelligence (AI). However, concept mining focuses on finding intent and meaning rather than extracting explicit information.

  • Data Generalization In Data Mining -

    Such descriptive data mining is called concept descriptions and forms an important component of data mining. What Is Concept Description . The simplest kind of descriptive data mining is called concept description. A concept usually refers to a collection of data such as frequent_buyers, graduate_students and so on. As data mining task concept description is not a simple enumeration

  • Data Mining - Tasks - Tutorialspoint

    Mining of Clusters; Class/Concept Description. Class/Concept refers to the data to be associated with the classes or concepts. For example, in a company, the classes of items for sales include computer and printers, and concepts of customers include big spenders and budget spenders. Such descriptions of a class or a concept are called class/concept descriptions. These descriptions can be ...

  • Mining Description Logics Concepts With Relational Concept ...

    Mining Description Logics Concepts With Relational Concept Analysis Marianne Huchard1, Amedeo Napoli2, Mohamed Rouane Hacene2, and Petko Valtchev3 1 LIRMM, 161 rue Ada, 34392 Montpellier Cedex 5, France, [email protected] 2 LORIA, Campus Sciences, BP 239, 54506 Vandœuvre-l`es-Nancy Cedex France, {napoli, rouanehm}@loria.fr 3 D´ept. d’informatique, UQAM, CP 8888, succ.

  • Concept mining - Wikipedia

    Concept mining is an activity that results in the extraction of concepts from artifacts.Solutions to the task typically involve aspects of artificial intelligence and statistics, such as data mining and text mining. Because artifacts are typically a loosely structured sequence of words and other symbols (rather than concepts), the problem is nontrivial, but it can provide powerful insights ...

  • CONCEPT DESCRIPTION: CHARACTERIZATION AND

    contrast, concept description in data mining strives for a more automated process that helps determine which dimensions (or attributes) should be included in the analyses, and the degree to which the giver data set should be generalized in order to produce an interesting summarization of the data. Recently, data warehousing and OLAP technology has been evolving towards handling more complex ...

  • What Is Concept Mining? (with picture) - wiseGEEK

    Concept mining is a process that focuses on extracting ideas and concepts found in documents. The approach is somewhat similar to text mining, with the main difference being that mining a text focuses on the extraction of information rather than ideas.Concept mining is helpful in a number of applications, including the evaluation of software programs and in various applications that are ...

  • Data Mining Definition - investopedia

    20/09/2020  Data mining is a process used by companies to turn raw data into useful information by using software to look for patterns in large batches of data.

  • Concept Class Description Characterization And ...

    Concept Class Description Characterization And Discrimination Information Technology Essay. Chapter 2. TECHNICAL KEYWORDS . 2.1 DATA MINING. Data are being collected and accumulated at a dramatic pace across a wide variety of fields. As the price of hard disc continues to drop, there is no difficulty in storage of data. Today we have overwhelming data: from business transaction and

  • (Get Answer) - .Concept description is the basic

    .Concept description is the basic form of the (a)Predictive data mining (b)Descriptive data mining (c)Data warehouse (d)Relational data base (e)Proactive data mining.

  • Data Mining - Definition, Applications, and

    Data mining is the process of uncovering patterns and finding anomalies and relationships in large datasets that can be used to make predictions about future trends. The main purpose of data mining is extracting valuable information from available data. Data mining is considered an interdisciplinary field that joins the techniques of computer science and statistics Basic Statistics Concepts ...

  • What is Concept Description IGI Global

    Definition of Concept Description: Data mining task in which the goal is to build a model that describes a concept or class in a comprehensible way. . × To Support Customers in Easily and Affordably Obtaining Titles in Electronic Format IGI Global is Now Offering a 50% Discount ...

  • Mining Description Logics Concepts with

    Mining Description Logics Concepts with Relational Concept Analysis. Authors; Authors and affiliations; Marianne Huchard; Amedeo Napoli; Mohamed Rouane Hacene; Petko Valtchev; Chapter. 1.4k Downloads; Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS) Abstract . Symbolic objects were originally intended to bring both more

  • (Get Answer) - .Concept description is the basic

    .Concept description is the basic form of the (a)Predictive data mining (b)Descriptive data mining (c)Data warehouse (d)Relational data base (e)Proactive data mining.

  • Mining description logic concepts from relations

    Request PDF Mining description logic concepts from relations based on concept lattices In description logics (DLs), a concept C could be a set of some tuples or a subset of the domain of an ...

  • Basic Concept of Classification (Data Mining) -

    12/12/2019  Data Mining: Data mining in general terms means mining or digging deep into data which is in different forms to gain patterns, and to gain knowledge on that pattern. In the process of data mining, large data sets are first sorted, then patterns are identified and relationships are established to perform data analysis and solve problems. Classification: It is a Data analysis task, i.e. the ...

  • (PDF) A Proposal for Combining Formal Concept

    A Proposal for Combining Formal Concept Analysis and Description Logics for Mining Relational Data

  • Data Mining: Concepts and Techniques, - Jiawei Han

    Data Mining Primitives, Languages, and System Architectures. Chapter 5. Concept Description: Characterization and Comparison Chapter 6. Mining Association Rules in Large Databases Chapter 7. Classification and Prediction Chapter 8. Cluster Analysis Chapter 9. Mining Complex Types of Data Chapter 10. Data Mining Applications and Trends in Data ...

  • Bitcoin Mining Definition

    01/10/2020  Bitcoin mining is the process of creating new bitcoin by solving a computational puzzle. Bitcoin mining is necessary to maintain the ledger of transactions upon which bitcoin is based.

  • raser Univ ersit y

    Mining: Concepts and T ec hniques Jia w ei Han and Mic heline Kam ber Simon F raser Univ ersit y Note: This man uscript is based on a forthcoming b o ok b y Jia w ei Han and Mic heline Kam b er, c 2000 (c) Morgan Kaufmann Publishers. All righ ts reserv ed. Preface Our capabilities of b oth generating and collecting data ha v e b een increasing rapidly in the last sev eral decades. Con ...

  • Mining Description Logics Concepts with

    Mining Description Logics Concepts with Relational Concept Analysis. Authors; Authors and affiliations; Marianne Huchard; Amedeo Napoli; Mohamed Rouane Hacene; Petko Valtchev; Chapter. 1.4k Downloads; Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS) Abstract . Symbolic objects were originally intended to bring both more

  • Mining description logic concepts from relations

    Request PDF Mining description logic concepts from relations based on concept lattices In description logics (DLs), a concept C could be a set of some tuples or a subset of the domain of an ...

  • (PDF) Mining Description Logics Concepts With

    Mining Description Logics Concepts With. Relati onal Concept Analysis. Marianne Huc hard. 1, Amedeo Napoli. 2, Mohamed Rouane Hacene. 2, a nd. Petk

  • Concept Description: Data Mining Unacademy

    This Course is about Concept Description which leads to Characterization and Comparison of data. It gives information about Data Generalization and its Presentation. Login. GATE ESE. Free courses. CS IT. Practice and Strategy. English. Concept Description: Data Mining. 4.7. 15 ratings • 3 reviews. Sakshi Agarwal. Save. This Course is about Concept Description which leads to ...

  • Mining description logic concepts from relations

    Mining description logic concepts from relations based on concept lattices Mining description logic concepts from relations based on concept lattices 2016-01-01 00:00:00 In description logics (DLs), a concept C could be a set of some tuples or a subset of the domain of an attribute. This paper proposed a method for extracting descriptive concepts from a relation, which is based on formal ...

  • Basic Concept of Classification (Data Mining) -

    12/12/2019  Data Mining: Data mining in general terms means mining or digging deep into data which is in different forms to gain patterns, and to gain knowledge on that pattern. In the process of data mining, large data sets are first sorted, then patterns are identified and relationships are established to perform data analysis and solve problems. Classification: It is a Data analysis task, i.e. the ...

  • Bitcoin Mining Definition

    01/10/2020  Bitcoin mining is the process of creating new bitcoin by solving a computational puzzle. Bitcoin mining is necessary to maintain the ledger of transactions upon which bitcoin is based.

  • What is Bitcoin? - Definition from WhatIs

    There's no doubt that bitcoin mining can gain it's popularity in few years from now. This kind of system can really help many people in buying stuff online or make it grow even without the control of authorities and government. Add My Comment Cancel ; AnonymousUser - 6 Jan 2015 12:50 PM. Thnks , I would like to take some infos from here , I find your blog very interestingI'm building a new ...

  • Concept description characterization and comparison

    Concept Description: Characterization and Comparison• What is concept description?• Data generalization and summarization-based characterization• Analytical characterization: Analysis of attribute relevance• Mining class comparisons: Discriminating between different classes• Mining descriptive statistical measures in large databases• Summary

  • GUIDELINES FOR PREPARATION OF A CONCEPT NOTE 1. Definition

    Concept Notes should be submitted within the standard form, below. Concept Notes which do not meet specifications should be returned to the sender for editing. This may delay their being considered. 2. Purpose The purpose of a concept note is twofold: a) to allow a research worker/group to submit a research proposal in summary form for preliminary assessment and evaluation without the need to ...

  • Mining description logic concepts from

    Request PDF Mining description logic concepts from relations based on concept lattices In description logics (DLs), a concept C could be a set of some tuples or a subset of the domain of an ...

  • (PDF) Mining Description Logics Concepts with

    Mining Description Logics Concepts with Relational Concept Analysis

  • Bitcoin Mining Definition

    01/10/2020  Bitcoin mining is the process of creating new bitcoin by solving a computational puzzle. Bitcoin mining is necessary to maintain the ledger of transactions upon which bitcoin is based.

  • CiteSeerX — Mining Description Logics

    CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract. Symbolic objects were originally intended to bring both more structure in data and more intelligibility in final results to statistical data analysis. We present here a framework of similar motivation, i.e., combining a data analysis method, — the concept analysis (fca) — with a knowledge description ...

  • 2.2 Basic Statistical Descriptions of Data - Data

    2.2 Basic Statistical Descriptions of Data For data preprocessing to be successful, it is essential to have an overall picture of your data. Basic statistical descriptions can be used to - Selection from Data Mining: Concepts and Techniques, 3rd Edition [Book]

  • Text Mining - an overview ScienceDirect Topics

    In the absence of any standards for job descriptions or resumé styles, this is a fairly simplistic description of the problem, but it illustrates the innovative use of text mining. This approach is superior to the keyword-based matches widely used today. It can be tuned and, depending on the capability of the software matches and degree of matches, can be built with assigned probabilities ...

  • Lac de données — Wikipédia

    Introduction. La notion de lac de données (ou data lake) est un concept intrinsèquement lié à celui de big data.Ce dernier correspond à des ensembles de données devenus si massifs et volumineux qu’il est devenu impossible pour l’esprit humain ou pour l’outil informatique classique de gestion de les traiter et de les analyser. Ces données proviennent de sources multiples et sont ...

  • Concept description characterization and

    Concept Description: Characterization and Comparison• What is concept description?• Data generalization and summarization-based characterization• Analytical characterization: Analysis of attribute relevance• Mining class comparisons: Discriminating between different classes• Mining descriptive statistical measures in large databases• Summary

  • Data Warehousing and Data Mining Set 2

    Concept description is the basic form of the (a) Predictive data mining (b) Descriptive data mining (c) Data warehouse (d) Relational data base (e) Proactive data mining. 18. The apriori property means (a) If a set cannot pass a test, all of its supersets will fail the same test as well (b) To improve the efficiency the level-wise generation of frequent item sets (c) If a set can pass a test ...

  • CS 490D: Introduction to Data Mining

    Expect at least one project involving real data, that you will be the first to apply data mining techniques to. The ... Jiawei Han and Micheline Kamber, Data Mining: Concepts and Techniques, The Morgan Kaufmann Series in Data Management Systems, Jim Gray, Series Editor. Morgan Kaufmann Publishers, August 2000. 550 pages. ISBN 1-55860-489-8. You might also find the following useful (it is the ...

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