FP-Growth is a classical data mining algorithm; most of its current implementations are based on programming language's primitive data types for their data structures; this leads to poor readability & reusability of the codes. Weka is an open source platform for data mining, but lacks of the ability in dealing with tree-structured data; JUNG is a network/graph computation framework. Starting fr...

A major hurdle in computational speech analysis is the effective integration of available tools originally developed for purposes unrelated to each other. We present a Python-based tool to enable an efficient and organized processing workflow incorporating automatic speech recognition using HTK, phonemelevel prosodic feature extraction in Praat and machine learning in WEKA. Our system is extens...

UNLABELLED Given the growing amount of biological data, data mining methods have become an integral part of bioinformatics research. Unfortunately, standard data mining tools are often not sufficiently equipped for handling raw data such as e.g. amino acid sequences. One popular and freely available framework that contains many well-known data mining algorithms is the Waikato Environment for Kn...

This paper presents Model Monitor (M2), a Java toolkit for robustly evaluating machine learning algorithms in the presence of changing data distributions. M2 provides a simple and intuitive framework in which users can evaluate classifiers under hypothesized shifts in distribution and therefore determine the best model (or models) for their data under a number of potential scenarios. Additional...

The SAP BW is a BI tool used daily by about 8000 employees of a big oil company in Brazil, running monthly about 150,000 queries to assist in the analysis inherent in their professional activities. A query is created to meet a need for specific business analysis and its response time is directly affected by the use of BW server by other users. The main problem today is that there is no way to e...

The number of studies investigating automated genre classification is growing following the increasing amounts of digital audio data available. The underlying techniques to perform automated genre classification in general include feature extraction and classification. In this study, MARSYAS was used to extract audio features and the suite of tools available in WEKA was used for the classificat...

Real estate industry has become a highly competitive business with an enormous amount of unstructured documents and resources. The process of data mining in such a business provides an advantage to the developers by processing those data, predicting future trends and helping them to make favorable knowledge-driven decisions. In this paper, we focus on data mining techniques and its applications...

Breast screening is the regular examination of a woman’s breasts to find breast cancer in an initial stage. The sole exam approved for this purpose is mammography that, despite the existence of more advanced technologies, is considered the cheapest and most efficient method to detect cancer in a preclinical stage. We investigate, using machine learning techniques, how attributes obtained from m...

Cardiotocography (CTG) records fetal heart rate (FHR) and uterine contractions (UC) simultaneously. Cardiotocography trace patterns help doctors to understand the state of the fetus. Even after the introduction of cardiotocograph, the capacity to predict is still inaccurate. This paper evaluates some commonly used classification methods using WEKA. Precision, Recall, F-Measrue and ROC curve hav...

Gordon Peterson and Harold Barney describe a detailed investigation of sustained American English vowels in [1]. The article presents acoustic measurements of fundamental frequency (F0) and first three formant frequencies (F1-F3). The authors also conducted experiments where listeners were asked to identify words. Raymond Watrous [2] re-organized the database collected in [1] and made it tempor...