Knowledge Guided Hierarchical Multi-Label Classification Over Ticket Data
نویسندگان
چکیده
منابع مشابه
Learning Hierarchical Multi-label Classification Trees from Network Data
We present an algorithm for hierarchical multi-label classification (HMC) in a network context. It is able to classify instances that may belong to multiple classes at the same time and consider the hierarchical organization of the classes. It assumes that the instances are placed in a network and uses information on the network connections during the learning of the predictive model. Many real...
متن کاملExtending ReliefF for Hierarchical Multi-label Classification
In the recent years, the data available for analysis in machine learning is becoming very high-dimensional and also structured in a more complex way. This emphasises the need for developing machine learning algorithms that are able to tackle both the high-dimensionality and the complex structure of the data. Our work in this paper, focuses on extending a feature ranking algorithm that can be us...
متن کاملExploiting Label Dependency for Hierarchical Multi-label Classification
Hierarchical multi-label classification is a variant of traditional classification in which the instances can belong to several labels, that are in turn organized in a hierarchy. Existing hierarchical multi-label classification algorithms ignore possible correlations between the labels. Moreover, most of the current methods predict instance labels in a “flat” fashion without employing the ontol...
متن کاملAn Extensive Evaluation of Decision Tree-Based Hierarchical Multi-Label Classification Methods and Performance Measures pdfsubject=Hierarchical Multi-Label Classification
Hierarchical Multi-Label Classification is a complex classification problem where an instance can be assigned to more than one class simultaneously, and these classes are hierarchically organized with superclasses and subclasses, i.e., an instance can be classified as belonging to more than one path in the hierarchical structure. This article experimentally analyses the behaviour of different d...
متن کاملMulti-Label classification for Mining Big Data
In big data problems mining requires special handling of the problem under investigation to achieve accuracy and speed on the same time. In this research we investigate the multi-label classification problems for better accuracy in a timely fashion. Label dependencies are the biggest influencing factor on performance, directly and indirectly, and is a distinguishing factor for multi-label from ...
متن کاملذخیره 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: IEEE Transactions on Network and Service Management
سال: 2017
ISSN: 1932-4537
DOI: 10.1109/tnsm.2017.2668363