Oklahoma International Publishing

Downtown Oklahoma City, Oklahoma, USA

Welcome

Dear Friend:

Oklahoma International Publishing (OkIP) is a conference & publishing organization incorporated in the great State of Oklahoma, United States of America.

OkIP organizes various international conferences offering scientists, students, and professionals world-class peer review content in Computer Science & Engineering, Social and Health Sciences, and Business Sciences.

Thank you for the countless sacrifices made by each one of you for your participation.

Contact

Shipping Address

OkIP
1911 Linwood Blvd
Oklahoma City, OK 73106


Mailing Address
OkIP

PO BOX 1463
Oklahoma City, OK 73101


Web/Email/Phone

www.okipublishing.com

info@okipublishing.com


Call for Book Proposals in all areas of Data Science and Engineering

Oklahoma International Publishing (OKIP), USA, accepts manuscript (edited books, monographs, encyclopedias, handbooks, textbooks, thesis...) proposals with advanced and innovative topics related, but not limited, to areas and fields below.
All book’s contents are peer-reviewed before expedited publication by OkIP in the Chronicle of Computing series and registration, abstraction, and and fast submission for potential indexation (Crossref™, Scopus®, Web of Science™).

Publication and Copyright: 2023/2024

>> Data Concepts
- Data Filtering | Data Conversion
- Data Structures | Data Management
- Data Virtualization | Data Integrity
- Data Integration | Data Retrieval
- Data Representation | Data Aggregation
- Data Types | Data Grids | Data Warehouse
- Metadata | Data Integration | Data fusion
- Data Standards | Data Workflow
- Data Interoperability | Data Integrity
- Data Security/Privacy/Trust | Data Control

>>Data Analytics and Processing
- Business Intelligence | Data Governance
- Descriptive analytics | Critical Device Data
- Raw Data | Data Capture | Data Ingestion
- Data Transformation | Data Processing
- Data Visualization | Data Queries
- Analytical Workloads | Prescriptive Analytics
- Historical Data and Business Metrics
- Transactional Workloads | Data Repositories
- Batch and Streaming Data
- Real-time Data | Point-of-Sale Data
- Statistics Exploratory Data Analysis
- Diagnostic Analytics | Cognitive Analytics
- Data Warehouse Management
- Predictive Analytics | Social Data Analytics
- Online Analytical Processing
- Semi-Structured Data | Unstructured Data

>>Databases
- Database System Internals and Performance
- XML Databases | Graph Database
- Temporal Databases | Spatial Databases
- Query Optimization Techniques
- Multimedia Databases | Distributed Databases
- Mobile Databases | WWW and Databases
- NoSQL Databases | Very Large Databases
- Object-Oriented Database Systems
- Database Architecture and Design

>>AI in Data and Big Data
- Data Encryption Techniques
- Data Mining Theoretical Foundation
- Scientific and Statistical Data Mining
- Data Mining and Knowledge Discovery
- Data Mining Products/Systems/Languages
- Big Data Search/Mining | Web Mining
- Decision Support Data Systems
- Dimensional Data Modeling
- Big Data Security/Privacy/Trust
- Big Data Infrastructure | Web Analytics
- Text Analytics | Big Data as a Service
- Big Data and Information/Data Quality
- Change Detection | Big Data Applications
- Social Web Search and Mining
- Deep Learning and Big Data
- Big Data Computational Models
- Smart Grid Big Data | Text Mining
- Big Data Cloud Computing
- Big Data Stream Computing
- Intelligent Data Retrieval System

>>Data and Databases Applications
- Database Applications and Experiences
- Scientific and Biological Databases
- Smart Cities and Urban Data Analytics
- Sensor Network Data Management
- In-Network Data Processing
- In-Memory/Purpose-built Databases
- Distributed/Parallel/Peer to Peer Databases
- Deep/Dark/Hidden Web Data Management
- Energy-Efficient Data Centers
- Storage Systems Security/Reliability
- Data Loss/Breach Prevention & Protection
- Visual and Audio Data Mining
- Information Visualization
- Open Source Databases
- Software Engineering Data
- Virtualized Data Center Network
- Medical/Biomedical Big Data
- Medical Data Interoperability/Security

>>Data and Legal Issues
- Data Privacy Issues| Sensitive Data
- Data Regulation Laws | Data Protection Laws
- Privacy-Preserving Techniques
- Data Privacy Issues | Privacy Standards
- Data Collection and Storage Issues
- Intellectual Property/Copyright Laws

>> Proposals Submission/Notification due Date
- Submission July 15, 2022 -> Notification August 1, 2022
- Submission August 15, 2022 -> Notification September 1, 2022
- Submission September 15, 2022 -> Notification October 1, 2022
- Submission October 15, 2022 -> Notification November 1, 2022
- Submission November 15, 2022 -> Notification December 1, 2022
- Submission December 15, 2022 -> Notification January 1, 2023

>> Proposal Submission Link


>> Proposal Should Include:
- Book type and three potential titles
- Keywords (7-9) and publication type
- Book format (length, # of chapters)
- Author/editor information and CVs
- Book timeline and marketing plan
- Short abstract and table of contents
- Target audience and competing titles
- Tentative Table of Content (for monograph only)
- Recommended Topics (40-100) (for non monograph)

>> Publication Types (A or B)
A) Open Access Books
- Authors/Editors pay all processing charges
- Copyright remains with the authors
- Authors can share content everywhere
- Contents are free to download

B) Traditional Books
- Publisher pays processing charge
- Copyright transfers to the publisher
- Contents are pay-to-download
- Title/abstracts are shared everywhere

>> Book Types
- Monograph: Detailed study of a single subject written by expert authors
- Edited book: Chapters with original research by different authors
- Encyclopedia: Multi-volumes, short chapters, current issues, solutions, and future directions
- Handbook: Long chapters from leading experts covering cutting-edge and trending concepts
- Textbook: Texts designed to introduce new basics or advanced subjects

>> Editorial Support
- Full publishing support
- Online hosting of published contents
- Free use of Eventutor submission system
- Discounts/incentives to Authors/Editors

>> Contact
Please feel free to contact the OkIP team for any inquiries at: info@okipublishing.com