Atjaunināt sīkdatņu piekrišanu

E-grāmata: Mining Intelligence and Knowledge Exploration: 7th International Conference, MIKE 2019, Goa, India, December 19-22, 2019, Proceedings

Edited by , Edited by , Edited by , Edited by
  • Formāts: PDF+DRM
  • Sērija : Lecture Notes in Computer Science 11987
  • Izdošanas datums: 19-Dec-2020
  • Izdevniecība: Springer Nature Switzerland AG
  • Valoda: eng
  • ISBN-13: 9783030661878
Citas grāmatas par šo tēmu:
  • Formāts - PDF+DRM
  • Cena: 53,52 €*
  • * 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.
Mining Intelligence and Knowledge Exploration: 7th International Conference, MIKE 2019, Goa, India, December 19-22, 2019, ProceedingsPalielināt
  • Formāts: PDF+DRM
  • Sērija : Lecture Notes in Computer Science 11987
  • Izdošanas datums: 19-Dec-2020
  • Izdevniecība: Springer Nature Switzerland AG
  • Valoda: eng
  • ISBN-13: 9783030661878
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.

This book constitutes the refereed conference proceedings of the 7th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2019, held in Goa, India, in December 2019.
The 31 full papers were carefully reviewed and selected from 83 submissions. The accepted papers were chosen on the basis of research excellence, which provides a body of literature for researchers involved in exploring, developing, and validating learning algorithms and knowledge-discovery techniques. Accepted papers were grouped into various subtopics including evolutionary computation, knowledge exploration in IoT, artificial intelligence, machine learning, image processing, pattern recognition, speech processing, information retrieval, natural language processing, social network analysis, security, fuzzy rough sets, and other areas.


On the Differences Between Human Agents and Logic-Based Software Agents
Discourse Understanding.- A Study on the Importance of Linguistic Suffixes in
Maithili POS Tagger Development.- Text Cohesion in CQA - Does it Impact
Rating.- Person Name Segmentation with Deep Neural Networks.- Convex vs
Convex-Concave Objective for Rare Label Classification.- Skew Aware
Partitioning Techniques for Multi-Way Spatial Join.- The Relationship Between
Sentiments of Social Media and Economic Indicators.- Entity and Verb Semantic
Role Labelling for Tamil Biomedicine.- Exploring Chinese Dynamic
Sentiment/Emotion Analysis with Text MiningTaiwanese Popular Movie Reviews
Comment as a Case.- Detection of Misbehaviors in Clone Identities on Online
Social Networks.- Contextual Predictability of Texts for Texts Processing and
Understanding.- Haralick Features from Wavelet Domain in Recognizing
Fingerprints Using Neural Network.- Circular Local Directional Pattern for
Texture Analysis.- A deep learning approach for Automatic Segmentation of
Dental Images.- Quality Assessment of Fingerprint Images using Local Texture
Descriptors.- Skeletal Age Estimation from Hand Radiographs using Transfer
Learning.- Fractal Geometry for Early Detection and Histopathological
Analysis of Oral Cancer.- Under-Sampling Binary Data using CURE for
Classification.- Extraction of White and Grey Lesion Features for the
Inference of ADHD.- Skin Lesion Segmentation Techniques Based on Markov
Random Field.- Performance of Coronary Plaque Feature Extraction and
Identification of Plaque Severity for Intravascular Ultrasound B-Mode
Images.- Identification of Palatal Fricative Fronting Using Shannon Entropy
of Spectrogram.- Identification of Nasalization and Nasal Assimilation from
Children's Speech.- Kannada Dialect Classification Using CNN.- Robust
Handwritten Digit Classification Using Tensors Decomposition.- Clustering of
Interval Valued Data through Interval Valued Feature Selection: Filter Based
Approaches.- Frequent Itemsets Based Partitioning Approach to Decision Tree
Classifier.- Investigating Fingerprint Quality Features for Liveness
Detection.- Full Informed Digital Transformation - Simpler, Maybe Better.-
CNN Pre-Initialization by Minimalistic Part-Learning for Handwritten Numeral
Recognition.- GlosysIC Framework: Transformer for Image Captioning with
Sequential Attention.
Biežāk uzdotie jautājumi par e-grāmatām Biežāk uzdotie jautājumi par e-grāmatām
Permanent link: https://www.kriso.lv/db/97830306618782e.html
Keywords: