Event Streams Clustering Using Machine Learning Techniques

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Event Streams Clustering Using Machine Learning Techniques

Data streams are usually of unbounded lengths which push users to consider only recent observations by focusing on a time window, and ignore past data. However, in many real world applications, past data must be taken in consideration to guarantee the efficiency, the performance of decision making and to handle data streams evolution over time. In order to build a selectively history to track t...

متن کامل

Flow Clustering Using Machine Learning Techniques

Packet header traces are widely used in network analysis. Header traces are the aggregate of traffic from many concurrent applications. We present a methodology, based on machine learning, that can break the trace down into clusters of traffic where each cluster has different traffic characteristics. Typical clusters include bulk transfer, single and multiple transactions and interactive traffi...

متن کامل

Unsupervised Event Clustering in Multilingual News Streams

Abstract The Topic Detection and Tracking (TDT) benchmark evaluation project embraces a variety of technical challenges for information retrieval research. The TDT topic detection task is concerned with the unsupervised grouping of news stories according to the events they discuss. A detection system must both discover new events as the incoming stories are processed and associate incoming stor...

متن کامل

Clustering Microtext Streams for Event Identification

The popularity of microblogging systems has resulted in a new form of Web data – microtext – which is very different from conventional well-written text. Microtext often has the characteristics of informality, brevity, and varied grammar, which poses new challenges in applying traditional clustering algorithms to analyze microtext. In this paper, we propose a novel two-phase approach for cluste...

متن کامل

Machine Learning Techniques for Mobile Application Event Analysis

As increasing amounts of economic, entertainment and social activities are occurring using native and web applications, it has become essential for developers to analyze user interactions in order to better understand their behavior and increase engagement and monetization. In this paper, we describe how JumpStart, a real-time event analytics service, utilizes machine learning techniques for em...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Systems Integration

سال: 2015

ISSN: 1804-2724

DOI: 10.20470/jsi.v6i4.224