Titlebook: Big Data Computing and Communications; First International Yu Wang,Hui Xiong,JianZhong Li Conference proceedings 2015 Springer Internation

蔓藤圖飾

A Novel Markov Chain Model to Derive the Expected Contention Window Size and Backoff Counter for IEE) layer is applied in controlling the nodes to access the channel. It is required to derive the Contention Window Size (CWS) and the Backoff Counter (BC) under the BEB since they are used in the nodes to attend for the channel. In this paper, a novel Markov chain model is presented to derive the joi

nominal

抱狗不敢前

ABYSS

FOAM: Frequency-Offset Aware Multiple Client Selection for Cooperative Packet Recovery Systemrk design, especially loosely coupled system, e.g., the multi-user MIMO system for clients, and the coordinations over ethernet for APs, frequency offset is one of the most important issues needs to be addressed..In this study, we investigate the role of frequency offset in cooperative packet recove

臭了生氣

isotope

Study of Constructing Data Supply Chain Based on PROVtination is constructed across data platforms where data flows through, then it will help users analyze and use these data more safely and effectively. Due to the complexity and diversity of data platforms, there is no uniform data supply chain model specification. To solve the problem, we construct

Fabric

Focused Deep Web Entrance Crawling by Form Feature Classificationqueries via page form submission. In order to make hidden-Web information more easily accessible, this paper proposes a hierarchical classifier to locate domain-specific hidden Web entries at a large scale. The classifier is trained by appropriately selected page form features to get rid of non-rele

Supplement

A Framework for Optimization in Big Data: Privacy-Preserving Multi-agent Greedy Algorithmhe big data applications owing to the privacy concerns. We propose a framework for distributed multi-agent greedy algorithms whereby any greedy algorithm that fits our requirement can be converted to a privacy-preserving one. After the conversion, the private information associated with each agent w

staging

惹人反感

Gender Prediction Based on Data Streams of Smartphone Applications kind of private information, that many users are reluctant to share. In this paper, we propose a novel approach to predict the users’ gender information by analyzing the data streams of smartphone applications. The proposed approach assumes that certain features extracted from smartphone data strea