A scalable decision-tree-based method to explain interactions in dyadic data
نویسندگان
چکیده
منابع مشابه
PDTSSE: A Scalable Parallel Decision Tree Algorithm Based on MapReduce
Parallel decision tree learning is an effective and efficient approach to scaling the decision tree to large data mining application. Aiming at large scale decision tree learning, we present a novel parallel decision tree learning algorithm in MapReduce framework, called PDTSSE (Parallel Decision Tree via Sampling Splitting points with Estimation). We first propose an estimation method for samp...
متن کاملA Scalable Segmented Decision Tree Abstract Domain
ions. Starting from a single initial segment with uninitialized content, segments are split and filled by assignments to arrays elements and joined when merging control flows. A widening may be necessary to merge segments so as to avoid the degenerescence to the case of one element per segment. The bounds of the segments are specified by a set of side-effect free expressions which all have the ...
متن کاملA New Decision Tree Method for Data Mining in Medicine
Today, enormous amount of data is collected in medical databases. These databases may contain valuable information encapsulated in nontrivial relationships among symptoms and diagnoses. Extracting such dependencies from historical data is much easier to done by using medical systems. Such knowledge can be used in future medical decision making. In this paper, a new algorithm based on C4.5 to mi...
متن کاملA Linked Data-Based Decision Tree Classifier to Review Movies
In this paper, we describe our contribution to the 2015 Linked Data Mining Challenge. The proposed task is concerned with the prediction of review of movies as “good” or “bad”, as does Metacritic website based on critics’ reviews. First we describe the sources used to build the training data. Although, several sources provide data about movies on the Web in different formats including RDF, data...
متن کاملModelling Customer Attraction Prediction in Customer Relation Management using Decision Tree: A Data Mining Approach
In Today’s quality- based competitive world, known as knowledge age, customer attraction is of ultimate importance. In respect to the slogan “customer is always right”, customer relation management is the core of an organizational strategy playing an important role in four aspects of customer identification, customer attraction, customer retaining, and customer satisfaction. Commercial organiza...
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: Decision Support Systems
سال: 2019
ISSN: 0167-9236
DOI: 10.1016/j.dss.2019.113141