Differentially Private Frequent Itemset Mining via Transaction Splitting Abstract?Recently, there has been a growing interest in designing differentially private data mining algorithms. Frequent itemset mining (FIM) is one of the most fundamental problems in data mining. In this paper, we explore the possibility of designing a differentially private FIM algorithm which can not only achieve…
Digital Image Sharing by Diverse Image Media Abstract?Digital Image Sharing by Diverse Image Media. Conventional visual secret sharing (VSS) schemes hide secret images in shares that are either printed on transparencies or are encoded and stored in a digital form. The shares can appear as noise-like pixels or as meaningful images; but it will arouse…
Digital Ordering System for Restaurant Abstract?Technology has entered almost every field in our life, but still its effect is not yet that evident in the food industry, especially the food serving outlets including restaurants, hotels. Even today, < Final Year Projects > most of the restaurants in India follow the traditional pen and paper method…
Dirichlet Process Mixture Model for Document Clustering with Feature Partition Abstract? Finding the appropriate number of clusters to which documents should be partitioned is crucial in document clustering. In this paper, we propose a novel approach, namely DPMFP, to discover the latent cluster structure based on the DPM model without requiring the number of clusters…
Dirichlet Process Mixture Model for Document Clustering with Feature Partition Abstract? Finding the appropriate number of clusters to which documents should be partitioned is crucial in document clustering.< Final Year Project > In this paper, we propose a novel approach, namely DPMFP, to discover the latent cluster structure based on the DPM model without requiring…
Disater Alert system using android Abstract?In the real world, patient has to be monitored by the person present in the home or by the helpers. There is no automatic alerting system being implemented so far. In this paper, the condition of the Patient is fully monitored with the help of Micro-Electro Mechanical System (MEMS), Heart…
Disclosing climate change patterns using an adaptive Markov chain pattern detection method Abstract?proposes an adaptive Markov chain pattern detection (AMCPD) method for disclosing the climate change patterns of Singapore through meteorological data mining. Meteorological variables, including daily mean temperature, mean dew point temperature, mean visibility, mean wind speed, maximum sustained wind speed, maximum temperature and…
Discover the Expert: Context-Adaptive Expert Selection for Medical Diagnosis Abstract?An expert selection system that learns online the best expert to assign to each patient depending on the context of the patient. In general, the context can include an enormous number and variety of information related to the patient’s health condition, age, gender, previous drug doses,…
Discovering Binding Cores in Protein-DNA Binding Using Association Rule Mining with Statistical Measures Abstract? Understanding binding cores is of fundamental importance in deciphering Protein-DNA (TF-TFBS) binding and for the deep understanding of gene regulation. Traditionally, binding cores are identi?ed in resolved high-resolution 3D structures. However, it is expensive, labor-intensive and time-consuming to obtain these structures….
Discovering Emerging Topics in Social Streams via Link-Anomaly Detection Abstract? Discovering Emerging Topics in Social Streams via Link-Anomaly Detection. Detection of emerging topics is now receiving renewed interest motivated by the rapid growth of social networks. Conventional-term-frequency-based approaches may not be appropriate in this context, because the information exchanged in social-network posts include not only…