Atjaunināt sīkdatņu piekrišanu

E-grāmata: Intelligent Information Processing II: IFIP TC12/WG12.3 International Conference on Intelligent Information Processing (IIP2004) October 21-23, 2004, Beijing, China

Edited by
Citas grāmatas par šo tēmu:
  • Formāts - PDF+DRM
  • Cena: 154,06 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Ielikt grozā
  • Pievienot vēlmju sarakstam
  • Šī e-grāmata paredzēta tikai personīgai lietošanai. E-grāmatas nav iespējams atgriezt un nauda par iegādātajām e-grāmatām netiek atmaksāta.
Intelligent Information Processing II: IFIP TC12/WG12.3 International Conference on Intelligent Information Processing (IIP2004) October 21-23, 2004, Beijing, ChinaPalielināt
Citas grāmatas par šo tēmu:

DRM restrictions

  • Kopēšana (kopēt/ievietot):

    nav atļauts

  • Drukāšana:

    nav atļauts

  • Lietošana:

    Digitālo tiesību pārvaldība (Digital Rights Management (DRM))
    Izdevējs ir piegādājis šo grāmatu šifrētā veidā, kas nozīmē, ka jums ir jāinstalē bezmaksas programmatūra, lai to atbloķētu un lasītu. Lai lasītu šo e-grāmatu, jums ir jāizveido Adobe ID. Vairāk informācijas šeit. E-grāmatu var lasīt un lejupielādēt līdz 6 ierīcēm (vienam lietotājam ar vienu un to pašu Adobe ID).

    Nepieciešamā programmatūra
    Lai lasītu šo e-grāmatu mobilajā ierīcē (tālrunī vai planšetdatorā), jums būs jāinstalē šī bezmaksas lietotne: PocketBook Reader (iOS / Android)

    Lai lejupielādētu un lasītu šo e-grāmatu datorā vai Mac datorā, jums ir nepieciešamid Adobe Digital Editions (šī ir bezmaksas lietotne, kas īpaši izstrādāta e-grāmatām. Tā nav tas pats, kas Adobe Reader, kas, iespējams, jau ir jūsu datorā.)

    Jūs nevarat lasīt šo e-grāmatu, izmantojot Amazon Kindle.

Data Mining is the process of posing queries and extracting useful information, patterns and trends previously unknown from large quantities of data [ Thu, 00]. It is the process where intelligent tools are applied in order to extract data patterns [ JM, 01]. This encompasses a number of different technical approaches, such as cluster analysis, learning classification and association rules, and finding dependencies. Agents are defined as software entities that perform some set of tasks on behalf of users with some degree of autonomy. This research work deals about developing a automated data mining system which encompasses the familiar data mining algorithms using intelligent agents in object oriented databases and proposing a framework. Because the data mining system uses the intelligent agents, a new user will be able to interact with the data mining system without much data mining technical knowledge. This system will automatically select the appropriate data mining technique and select the necessary field needed from the database at the appropriate time without expecting the users to specify the specific technique and the parameters. Also a new framework is proposed for incorporating intelligent agents with automated data mining. One of the major goals in developing this system is to give the control to the computer for learning automatically by using intelligent agents.
Model Organization Constraints in Multi-Agent System.- A Multi-Agent
System for Mobile Environments.- Agent Interaction Management and Application
in a Virtual Collaborative Environment.- An Integrated Approach to
Battlefield Situation Assessment.- Negotiation Based on Personality.- MIAM: A
Robot Oriented Mobile Intelligent Agent Model.- Incorporating Elements from
Camle in the Open Repository.- Representing Human Spatial Behavior by
Self-Organizing Networks.- Multi-Agent System Development Kit.- Limitations
in Aumls Roles Specification.- The Research of Geometric Constraint Soving
Based on the Path Tracking Homotopy Iteration Method.- Fast Stereo Matching
Method Using Edge Traction.- Hybrid Color Image Segmentation Based Fully
Automatic Chroma-Keying System with Cluttered Background.- Research on
Techniques of Approximate Recognition of Continuous Deformation of Images
with Multi-Grey-Levels.- Recognition of Image with Natural Textures Based on
Learning of Information Augmentation.- Improvements on CCA Model with
Application to Face Recognition.- Performance of Several Types of Median
Filters in Spectral Domain.- Fuzzy and Rough Set.- Algebraic Property of
Rough Implication Based on Interval Structure.- Research on Information
Requirement of First-Order Universal Implication Operators in Fuzzy
Reasoning.- An Extended Rough Sets Approach to Analysis of CUDT.- Intrusion
Detection Based on Organizational Coevolutionary Fuzzy Classifiers.- Simple
Fuzzy Logic Rules Based on Fuzzy Decision Tree for Classification and
Prediction Problem.- A Research on Knowledge Reduction of Information Systems
Based on Sub-Consciousness.- Optimal Design of Conic-Cylindrical Gear
Reduction Unit Using Fuzzy Physical Programming.- NLOMJNatural Language
Object Model in Java.- FingerprintRidge Line Reconstruction.- Design and
Implementation of Automated Data Mining Using Intelligent Agents in Object
Oriented Databases.- A Bayesian Optimization Algorithm for UAV Path
Planning.- Dilated Chi-Square: A Novel Interestingness Measure to Build
Accurate and Compact Decision List.- Post Sequential Patterns Mining.-
Extended Constraint Handling for CP-Networks.- Solving CSP by Lagrangian
Method with Importance of Constraints.- Component Retrieval Using
Conversational Case-Based Reasoning.- Mixed Parallel Execution of Algorithms
for Satisfiability Problem.- Clustering Binary Codes to Express the
Biochemical Properties of Amino Acids.- Natural Language Interface to Mobile
Devices.- Research and Application in Web Usage Mining of the Incremental
Mining Technique for Association Rule.- Face Recognition Technique Based on
Modular ICA Approach.- Model-Based Debugging with High-Level Observations.-
Mapping Search Results into Self-Customized Category Hierarchy.- Rank
Aggregation Model for Meta Search.- On the Importance of Being Diverse.-
Using Finite Domains in Constraint Satisfaction Problem.- Research on Radar
Targets Recognition by Extracting 3-D Characteristic from ISAR Images.-
Uncertain Reasoning and Decision Making.- Diagnosing Java Programs with
Static Abstractions of Data Structures.- Intelligent Technology for Well
Logging Analysis.- SEDatalog: A Set Extension of Datalog.- Session
Identification Based on Time Interval in Web Log Mining.- Efficiently Mining
Frequent Itemsets with Compact FP-Tree.- Towards Human Oriented WWW.- An
Intelligent Diagnosis System Handling Multiple Disorders.- An Intelligent
Knowledge-Based Recommendation System.- A Formal Concept Analysis Approach
for Web Usage Mining.- Knowledge-Based Decision Support in Oil Well
Drilling.- A NewMethod to Construct the Non-Dominated Set in Multi-Objective
Genetic Algorithms.- Ensembles of Multi-Instance Neural Networks.- A
Wordnet-Based Approach to Feature Selection in Text Categorization.- A New
Support Vector Neural Network Inference System.- An Improved Vehicle
Classification Method Based on Gabor Features.- An Incremental Algorithm
about the Affinity-Rule Based Transductive Learning Machine for
Semi-Supervised Problem.- A Short Tutorial on Reinforcement Learning.-
Hardware Design of Two Weighted Neural Network and Application for Object
Recognition.- Improvement of Web Data Clustering Using Web Page Contents.- A
Prediction Approach to Well Logging.
Biežāk uzdotie jautājumi par e-grāmatām Biežāk uzdotie jautājumi par e-grāmatām
Permanent link: https://www.kriso.lv/db/97803872315252e.html
Keywords: