Call for Papers

The conference ICACML, 2018 will feature original research and industrial papers on the theory, design and implementation of the technologies in Advanced computing and Machine Learning techniques , as well as demonstrations, tutorials, workshops and industrial presentations. Also it will enable the researchers in the various domains such as High Performance Computing, Advances in Communication and Networks, Advanced Algorithms, Image and Multimedia Processing, Databases, and Computing in Education, research ideas and the results of research work which could contribute to the academic arena and also benefit business, industrial community and in turn to the society. This will also help in improving decision making in organisations.

ICACML, 2018 invites original contributions on all topics related to Computational Science, including, but not limited to:

Track 1: Advanced Computing and Algorithms

  • Artificial intelligence
  • Cloud computing
  • Mobile computing
  • Soft computing
  • Green computing
  • Big data analytics
  • Approximation Algorithms
  • Bioinformatics Algorithms
  • Computational Biology
  • Computational Geometry
  • Data Compression Algorithm
  • Parallel and Distributed Algorithms /li>
  • External-Memory Algorithms
  • Exponential Algorithm
  • Game Theory
  • Graph Algorithms
  • Network Algorithms
  • On-line Algorithms
  • Optimization Algorithms
  • Parallel Algorithms
  • Parameterized Algorithms
  • Pattern Matching Algorithm
  • Randomized Algorithms
  • Streaming Algorithms
  • String Algorithms

Track 2: Machine Learning and Data Sciences

  • Clustering
  • Databases and Data Mining Applications
  • Database Tuning, Distributed Databases
  • Feature Selection and Feature Extraction
  • High Performance Data Mining Algorithms
  • Information Retrieval
  • Knowledge Discovery in Database
  • Knowledge Management
  • Query Optimization
  • Search Engine Optimization
  • Data Mining
  • Deep learning and Neural learning
  • Evolutionary learning
  • Kernel methods
  • Learning in multi-agent systems
  • Learning theory and applications
  • Probabilistic models and methods
  • Reinforcement learning
  • Semi- and Unsupervised learning
  • Graph mining
  • Text analytics
  • Information retrieval
  • Recommender systems
  • Dimensionality Reduction
  • Time series analysis

This is a blind peer-reviewed conference. Authors are cordially invited to submit papers through on line paper submission process (Easy Chair submission system) before 5th November 2017.

Instructions For Authors

  1. Original papers based on theoretical or experimental works related to the above mentioned sub themes are solicited for presentation in the conference. The paper should begin with title, short abstract and a list of keywords. Simultaneous submissions (papers already submitted to other conferences/journals) are not allowed.
  2. All papers must follow (given in point 5) formatting instructions
  3. Please do not submit plagiarized papers.
  4. All the papers will be submitted through on-line paper submission process (Easy chair submission system). Authors are requested to follow paper submission link on website.
  5. Download Paper Format in DOC Click Here

Copy Right Form:

  1. In order to publish paper in the conference proceeding, the authors are required to submit a signed copyright form for each accepted paper during registration.
  2. Download Copyright form in DOC Click Here

We look forward to a mutually rewarding and long lasting association with you and your esteemed organization.

Contact Us

For any query, Please feel free to contact us:

Dr. V.K. Sharma

Mb. +919643072810