BIG DATA-US
ISSN：2167-6461 E-ISSN：2167-647X 出版商：Mary Ann Liebert 国家：UNITED STATES
| 收录情况 | h-index：17 CiteScore：6.20 |
Big Data is the leading peer-reviewed journal covering the challenges and opportunities in collecting| analyzing| and disseminating vast amounts of data. The Journal addresses questions surrounding this powerful and growing field of data science and facilitates the efforts of researchers| business managers| analysts| developers| data scientists| physicists| statisticians| infrastructure developers| academics| and policymakers to improve operations| profitability| and communications within their businesses and institutions. Spanning a broad array of disciplines focusing on novel big data technologies| policies| and innovations| the Journal brings together the community to address current challenges and enforce effective efforts to organize| store| disseminate| protect| manipulate| and| most importantly| find the most effective strategies to make this incredible amount of information work to benefit society| industry| academia| and government. Big Data coverage includes: Big data industry standards| New technologies being developed specifically for big data| Data acquisition| cleaning| distribution| and best practices| Data protection| privacy| and policy| Business interests from research to product| The changing role of business intelligence| Visualization and design principles of big data infrastructures| Physical interfaces and robotics| Social networking advantages for Facebook| Twitter| Amazon| Google| etc| Opportunities around big data and how companies can harness it to their advantage.
数据整理自公开网络的投稿反馈，仅供参考。
