rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Mining Intelligence and Knowledge Exploration
    sub title: First International Conference, MIKE 2013, Tamil Nadu, India, December 18-20, 2013. Proceedings
  name:
    name part: Prasath, Rajendra.
    role:
      role term: editor.
  name:
    name part: Kathirvalavakumar, T.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVIII, 845 p. 355 illus. online resource.
  abstract: This book constitutes the proceedings of the First International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2013, held in Tamil Nadu, India on December 2013. The 82 papers presented were carefully reviewed and selected from 334 submissions. The papers cover the topics such as feature selection, classification, clustering, image processing, network security, speech processing, machine learning, information retrieval, recommender systems, natural language processing, language, cognition and computation and other certain problems in dynamical systems.
  table of contents: A Feature Selection Method Using Hierarchical Clustering -- Rank Aggregation for Filter Feature Selection in Credit Scoring -- Hybrid Approach for Palmprint Recognition Using Compound Features -- An Empirical Evaluation of SVM on Meta Features for Authorship Attribution of Online Texts -- An Empirical Comparison of Discretization Methods for Neural Classifier -- Using a Normalized Score Multi-Label KNN to Classify Multi-label Herbal Formulae -- Unsupervised Approach to Hindi Music Mood Classification -- Motion Intensity Code for Action Recognition in Video Using PCA and SVM -- Performance Analysis of Tree Based Classification Algorithms for Intrusion Detection System -- Heart Disease Classification Using PCA and Feed Forward Neural Networks -- Non-disjoint Cluster Analysis with Non-uniform Density -- Segmentation of Crop Nutrient Deficiency Using Intuitionistic Fuzzy C-Means Color Clustering Algorithm -- An Efficient Artificial Bee Colony and Fuzzy C Means Based Co-regulated Biclustering from Gene Expression Data -- Bisecting K-Means Initialization Technique for Protein Sequence Motif Identification -- A Proposed Hybrid Medoid Shift with K-Means (HMSK) Segmentation Algorithm to Detect Tumor and Organs for Effective Radiotherapy -- Face Representation Using Averaged Wavelet, Micro Patterns and Recognition Using RBF Network -- Face Recognition in Very Low Bit Rate SPIHT Compressed Facial Images -- Modified Kittler and Illingworth’s Thresholding for MRI Brain Image Segmentation -- Histogram Based Split and Merge Framework for Shot Boundary Detection -- Boundary Detection of Objects in Digital Images Using Bit-Planes and Threshold Modified Canny Method -- Segmentation of Mango Region from Mango Tree Image -- Detection and Removal of Scratches in Images -- An Automatic Method to Locate Tumor from MRI Brain Images Using Wavelet Packet Based Feature Set -- Segmentation of Microcalcifications in Digital Mammogram Images Using Intensity Modified Black Top-Hat Transformation …
  note: edited by Rajendra Prasath, T. Kathirvalavakumar.
  subject:
    topic: Computer science
  subject:
    topic: Data mining
  subject:
    topic: Information storage and retrieval
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer graphics
  subject:
    topic: Computer Science
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Information Storage and Retrieval
  subject:
    topic: Computer Imaging, Vision, Pattern Recognition and Graphics
  subject:
    topic: Computer Science, general
  classification: Q334-342
  classification: TJ210.2-211.495
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Computer Science, 8284
  identifier: 9783319038445
  identifier: http://dx.doi.org/10.1007/978-3-319-03844-5
  record info:
    record creation date: 131216
    record change date: 20151204191759.0
    record identifier: 978-3-319-03844-5